Dacheng Tao

Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model AAAI 2026 Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees ACL 2026 Free-Form Scene Editor: Enabling Multi-Round Object Manipulation Like in a 3D Engine AAAI 2026 Lightning Fast Caching-based Parallel Denoising Prediction for Accelerating Talking Head Generation AAAI 2026 CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing AAAI 2026 Powering Verifiable Learning via Automated Evolutionary Data Synthesis ACL 2026 Distillation Traps and Guards: A Calibration Knob for LLM Distillability ACL 2026 RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents ACL 2026 Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models ACL 2026 Bridging the Tokenizer Gap: Semantics and Distribution-aware Knowledge Transfer for Unbiased Cross-Tokenizer Distillation AAAI 2026 AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization AAAI 2026 The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check ACL 2026 SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs AAAI 2026 Safety Reasoning with Guidelines ICML 2025 Human-Imperceptible, Machine-Recognizable Images IJCAI 2025 Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments EMNLP 2025 Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models EMNLP 2025 LLM Data Selection and Utilization via Dynamic Bi-level Optimization ICML 2025 Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation ICLR 2025 A Statistical Approach for Controlled Training Data Detection ICLR 2025 NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models ICLR 2025 Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense ICLR 2025 Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection ICLR 2025 Learning system dynamics without forgetting ICLR 2025 Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency ICLR 2025 A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops ICLR 2025 MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators COLING 2025 FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion JMLR 2025 LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs CVPR 2025 Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints ICML 2025 Dynamic Parallel Tree Search for Efficient LLM Reasoning ACL 2025 ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models ACL 2025 VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search ACL 2025 Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding ACL 2025 Supervised Optimism Correction: Be Confident When LLMs Are Sure ACL 2025 Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs ACL 2025 KaFT: Knowledge-aware Fine-tuning for Boosting LLMs’ Domain-specific Question-Answering Performance ACL 2025 Energy-based Backdoor Defense Against Federated Graph Learning ICLR 2025 Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA EMNLP 2025 FreDF: Learning to Forecast in the Frequency Domain ICLR 2025 Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition CVPR 2025 Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift CVPR 2025 Intention Analysis Makes LLMs A Good Jailbreak Defender COLING 2025 Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning COLING 2025 CopyrightShield: Enhancing Diffusion Model Security Against Copyright Infringement Attacks ICCV 2025 Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning ICCV 2025 R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization ICCV 2025 Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making ICML 2025 CFinBench: A Comprehensive Chinese Financial Benchmark for Large Language Models NAACL 2025 Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning ICML 2025 Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning ICML 2025 Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer ICML 2025 Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning ICML 2025 The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking ICML 2025 ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks ICML 2025 AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration ICML 2025 Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG ICML 2025 Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models AAAI 2025 Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning AAAI 2025 Modeling All Response Surfaces in One for Conditional Search Spaces AAAI 2025 Free-Form Motion Control: Controlling the 6D Poses of Camera and Objects in Video Generation ICCV 2025 Rethink Sparse Signals for Pose-guided Text-to-image Generation ICCV 2025 MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI ICCV 2025 Representation Surgery for Multi-Task Model Merging ICML 2024 Revisiting Catastrophic Forgetting in Large Language Model Tuning EMNLP 2024 3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset COLING 2024 Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction COLING 2024 Adaptive Time-Stepping Schedules for Diffusion Models UAI 2024 LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit EMNLP 2024 Self-Powered LLM Modality Expansion for Large Speech-Text Models EMNLP 2024 Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations JMLR 2024 Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning ECCV 2024 Synergy of Sight and Semantics: Visual Intention Understanding with CLIP ECCV 2024 One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls CVPR 2024 Sheared Backpropagation for Fine-tuning Foundation Models CVPR 2024 Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis CVPR 2024 UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather CVPR 2024 FREE: Faster and Better Data-Free Meta-Learning CVPR 2024 Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases ICML 2024 Deep Graph Mating NIPS 2024 GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching NIPS 2024 MG-Net: Learn to Customize QAOA with Circuit Depth Awareness NIPS 2024 A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs NIPS 2024 Offline Behavior Distillation NIPS 2024 Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization NIPS 2024 InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling NIPS 2024 AdaMerging: Adaptive Model Merging for Multi-Task Learning ICLR 2024 Convergence of Bayesian Bilevel Optimization ICLR 2024 Parameter-Efficient Multi-Task Model Fusion with Partial Linearization ICLR 2024 One For All: Towards Training One Graph Model For All Classification Tasks ICLR 2024 Learning Multi-Agent Communication from Graph Modeling Perspective ICLR 2024 Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages ICLR 2024 Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL EMNLP 2024 Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models ICML 2024 Generalization Analysis of Stochastic Weight Averaging with General Sampling ICML 2024 Merging Multi-Task Models via Weight-Ensembling Mixture of Experts ICML 2024 Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications ICML 2024 HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning ICML 2024 Q-value Regularized Transformer for Offline Reinforcement Learning ICML 2024 TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation AAAI 2024 Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models AAAI 2024 SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection AAAI 2024 Joint Input and Output Coordination for Class-Incremental Learning IJCAI 2024 Towards Theoretical Understandings of Self-Consuming Generative Models ICML 2024 Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation ACL 2024 Revisiting Demonstration Selection Strategies in In-Context Learning ACL 2024 Revisiting Knowledge Distillation for Autoregressive Language Models ACL 2024 Uncertainty Aware Learning for Language Model Alignment ACL 2024 DB-LLM: Accurate Dual-Binarization for Efficient LLMs ACL 2024 Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models ACL 2024 OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models ACL 2024 ROSE Doesn’t Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding ACL 2024 Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case ICLR 2023 VanillaNet: the Power of Minimalism in Deep Learning NIPS 2023 SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model NIPS 2023 Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman NIPS 2023 MAG-GNN: Reinforcement Learning Boosted Graph Neural Network NIPS 2023 ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding NIPS 2023 Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm NIPS 2023 Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation NIPS 2023 Domain Re-Modulation for Few-Shot Generative Domain Adaptation NIPS 2023 Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning NIPS 2023 All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation NIPS 2023 Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization NIPS 2023 Poisson Process for Bayesian Optimization AUTOML 2023 Learning to Learn Better for Video Object Segmentation AAAI 2023 DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer AAAI 2023 Offline Quantum Reinforcement Learning in a Conservative Manner AAAI 2023 FedABC: Targeting Fair Competition in Personalized Federated Learning AAAI 2023 ContraFeat: Contrasting Deep Features for Semantic Discovery AAAI 2023 Improving Simultaneous Machine Translation with Monolingual Data AAAI 2023 Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks AAAI 2023 CASN:Class-Aware Score Network for Textual Adversarial Detection ACL 2023 Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking ACL 2023 Toward Human-Like Evaluation for Natural Language Generation with Error Analysis ACL 2023 Revisiting Token Dropping Strategy in Efficient BERT Pretraining ACL 2023 PAD-Net: An Efficient Framework for Dynamic Networks ACL 2023 Token-Level Self-Evolution Training for Sequence-to-Sequence Learning ACL 2023 TransGEC: Improving Grammatical Error Correction with Translationese ACL 2023 Self-Evolution Learning for Discriminative Language Model Pretraining ACL 2023 Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training ACL 2023 Learning to Generalize Provably in Learning to Optimize AISTATS 2023 Dynamic Focus-Aware Positional Queries for Semantic Segmentation CVPR 2023 Leverage Interactive Affinity for Affordance Learning CVPR 2023 Upcycling Models Under Domain and Category Shift CVPR 2023 Learnable Skeleton-Aware 3D Point Cloud Sampling CVPR 2023 CLAMP: Prompt-Based Contrastive Learning for Connecting Language and Animal Pose CVPR 2023 Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization CVPR 2023 Generating Holistic 3D Human Motion From Speech CVPR 2023 Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning CVPR 2023 DeepSolo: Let Transformer Decoder With Explicit Points Solo for Text Spotting CVPR 2023 Make Landscape Flatter in Differentially Private Federated Learning CVPR 2023 From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models CVPR 2023 Deep Graph Reprogramming CVPR 2023 TriDet: Temporal Action Detection With Relative Boundary Modeling CVPR 2023 Referring Image Matting CVPR 2023 Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks EMNLP 2023 PromptST: Abstract Prompt Learning for End-to-End Speech Translation EMNLP 2023 Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models EMNLP 2023 Merging Experts into One: Improving Computational Efficiency of Mixture of Experts EMNLP 2023 Towards Making the Most of ChatGPT for Machine Translation EMNLP 2023 Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities IJCAI 2023 Improving Heterogeneous Model Reuse by Density Estimation IJCAI 2023 DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration ICCV 2023 Exploring Temporal Concurrency for Video-Language Representation Learning ICCV 2023 Domain Specified Optimization for Deployment Authorization ICCV 2023 Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning ICCV 2023 Knowledge-Aware Federated Active Learning with Non-IID Data ICCV 2023 Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification ICCV 2023 CktGNN: Circuit Graph Neural Network for Electronic Design Automation ICLR 2023 HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings ICLR 2023 Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process ICLR 2023 Unified Discrete Diffusion for Simultaneous Vision-Language Generation ICLR 2023 FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy ICLR 2023 Alternating Differentiation for Optimization Layers ICLR 2023 Symmetric Pruning in Quantum Neural Networks ICLR 2023 Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning ICLR 2023 Learning to Learn from APIs: Black-Box Data-Free Meta-Learning ICML 2023 Structured Cooperative Learning with Graphical Model Priors ICML 2023 Improving the Model Consistency of Decentralized Federated Learning ICML 2023 Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape ICML 2023 Tilted Sparse Additive Models ICML 2023 Decentralized SGD and Average-direction SAM are Asymptotically Equivalent ICML 2023 FIBA: Frequency-Injection Based Backdoor Attack in Medical Image Analysis CVPR 2022 TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack EMNLP 2022 SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters EMNLP 2022 Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models EMNLP 2022 Vega-MT: The JD Explore Academy Machine Translation System for WMT22 EMNLP 2022 Bridged Transformer for Vision and Point Cloud 3D Object Detection CVPR 2022 Fine-Tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning CVPR 2022 Patch Slimming for Efficient Vision Transformers CVPR 2022 RU-Net: Regularized Unrolling Network for Scene Graph Generation CVPR 2022 Learning Affordance Grounding From Exocentric Images CVPR 2022 A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis COLING 2022 Modeling Image Composition for Complex Scene Generation CVPR 2022 HL-Net: Heterophily Learning Network for Scene Graph Generation CVPR 2022 Defensive Patches for Robust Recognition in the Physical World CVPR 2022 ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation NIPS 2022 Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? NIPS 2022 Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach NIPS 2022 Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach NIPS 2022 Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits NIPS 2022 Benefits of Permutation-Equivariance in Auction Mechanisms NIPS 2022 APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking NIPS 2022 CGLB: Benchmark Tasks for Continual Graph Learning NIPS 2022 Distillation Using Oracle Queries for Transformer-Based Human-Object Interaction Detection CVPR 2022 Source-Free Domain Adaptation via Distribution Estimation CVPR 2022 ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation CVPR 2022 Learning To Collaborate in Decentralized Learning of Personalized Models CVPR 2022 Recurrent Glimpse-Based Decoder for Detection With Transformer CVPR 2022 GMFlow: Learning Optical Flow via Global Matching CVPR 2022 DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers CVPR 2022 BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning CVPR 2022 Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint CVPR 2022 Contrastive Boundary Learning for Point Cloud Segmentation CVPR 2022 Few-Shot Backdoor Defense Using Shapley Estimation CVPR 2022 Topology-aware Generalization of Decentralized SGD ICML 2022 Rethinking Class-Prior Estimation for Positive-Unlabeled Learning ICLR 2022 Continual Learning With Lifelong Vision Transformer CVPR 2022 FP-DETR: Detection Transformer Advanced by Fully Pre-training ICLR 2022 Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning ICLR 2022 Huber Additive Models for Non-stationary Time Series Analysis ICLR 2022 A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning ICLR 2022 Knowledge Removal in Sampling-based Bayesian Inference ICLR 2022 SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection AAAI 2022 Continual Learning through Retrieval and Imagination AAAI 2022 Identity-Disentangled Adversarial Augmentation for Self-supervised Learning ICML 2022 DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training ICML 2022 Penalized Proximal Policy Optimization for Safe Reinforcement Learning IJCAI 2022 A Survey on Gradient Inversion: Attacks, Defenses and Future Directions IJCAI 2022 Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation ACL 2022 Learning Graph Neural Networks for Image Style Transfer ECCV 2022 Towards Data-Efficient Detection Transformers ECCV 2022 ReAct: Temporal Action Detection with Relational Queries ECCV 2022 Online Continual Learning with Contrastive Vision Transformer ECCV 2022 VSA: Learning Varied-Size Window Attention in Vision Transformers ECCV 2022 Balancing Stability and Plasticity through Advanced Null Space in Continual Learning ECCV 2022 Discovering Human-Object Interaction Concepts via Self-Compositional Learning ECCV 2022 PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation ECCV 2022 Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation ECCV 2022 RegionCL: Exploring Contrastive Region Pairs for Self-Supervised Representation Learning ECCV 2022 BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy for Source-Free Domain Adaptation ECCV 2022 "Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition" ECCV 2022 "Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics" ECCV 2022 ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning ECCV 2022 "JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes" ECCV 2022 A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation ACL 2022 Self-Augmented Unpaired Image Dehazing via Density and Depth Decomposition CVPR 2022 On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation COLING 2022 Tree-Like Decision Distillation CVPR 2021 Progressive One-shot Human Parsing AAAI 2021 Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search AAAI 2021 Progressive Multi-Granularity Training for Non-Autoregressive Translation IJCNLP 2021 The USYD-JD Speech Translation System for IWSLT2021 IJCNLP 2021 Improving Neural Machine Translation by Bidirectional Training EMNLP 2021 ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias NIPS 2021 A Comprehensive Survey on Image Dehazing Based on Deep Learning IJCAI 2021 BESA: BERT-based Simulated Annealing for Adversarial Text Attacks IJCAI 2021 One-Shot Affordance Detection IJCAI 2021 Deep Automatic Natural Image Matting IJCAI 2021 Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms UAI 2021 Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation IJCNLP 2021 The USYD-JD Speech Translation System for IWSLT2021 ACL 2021 Progressive Multi-Granularity Training for Non-Autoregressive Translation ACL 2021 Out-of-Boundary View Synthesis Towards Full-Frame Video Stabilization ICCV 2021 Meta-Aggregator: Learning To Aggregate for 1-Bit Graph Neural Networks ICCV 2021 Adaptive Curriculum Learning ICCV 2021 SynFace: Face Recognition With Synthetic Data ICCV 2021 Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained Recognition ICCV 2021 TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition ICCV 2021 Commutative Lie Group VAE for Disentanglement Learning ICML 2021 Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation ACL 2021 Multi-label Few-shot Learning with Semantic Inference (Student Abstract) AAAI 2021 Understanding and Improving Lexical Choice in Non-Autoregressive Translation ICLR 2021 Class-Disentanglement and Applications in Adversarial Detection and Defense NIPS 2021 Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing AAAI 2021 Gauge Equivariant Transformer NIPS 2021 SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data AAAI 2021 AdderSR: Towards Energy Efficient Image Super-Resolution CVPR 2021 Online Multiple Object Tracking With Cross-Task Synergy CVPR 2021 Scene Essence CVPR 2021 HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens CVPR 2021 Learning Progressive Point Embeddings for 3D Point Cloud Generation CVPR 2021 Turning Frequency to Resolution: Video Super-Resolution via Event Cameras CVPR 2021 Glance and Gaze: Inferring Action-Aware Points for One-Stage Human-Object Interaction Detection CVPR 2021 Where and What? Examining Interpretable Disentangled Representations CVPR 2021 Detecting Human-Object Interaction via Fabricated Compositional Learning CVPR 2021 Affordance Transfer Learning for Human-Object Interaction Detection CVPR 2021 Manifold Regularized Dynamic Network Pruning CVPR 2021 Amalgamating Knowledge From Heterogeneous Graph Neural Networks CVPR 2021 Searching for Low-Bit Weights in Quantized Neural Networks NIPS 2020 Symbiotic Adversarial Learning for Attribute-based Person Search ECCV 2020 Learning Disentangled Representations with Latent Variation Predictability ECCV 2020 Understanding Generalization in Recurrent Neural Networks ICLR 2020 Piecewise linear activations substantially shape the loss surfaces of neural networks ICLR 2020 Hallucinating Visual Instances in Total Absentia ECCV 2020 Short-Term and Long-Term Context Aggregation Network for Video Inpainting ECCV 2020 Part-dependent Label Noise: Towards Instance-dependent Label Noise NIPS 2020 Label-Noise Robust Domain Adaptation ICML 2020 Auto Learning Attention NIPS 2020 Domain Generalization via Entropy Regularization NIPS 2020 Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning NIPS 2020 Video Frame Interpolation without Temporal Priors NIPS 2020 Grapy-ML: Graph Pyramid Mutual Learning for Cross-Dataset Human Parsing AAAI 2020 SCOP: Scientific Control for Reliable Neural Network Pruning NIPS 2020 GPS-Net: Graph Property Sensing Network for Scene Graph Generation CVPR 2020 Recurrent Feature Reasoning for Image Inpainting CVPR 2020 On Positive-Unlabeled Classification in GAN CVPR 2020 Distilling Knowledge From Graph Convolutional Networks CVPR 2020 Learning Oracle Attention for High-Fidelity Face Completion CVPR 2020 Syntax-Aware Action Targeting for Video Captioning CVPR 2020 Context Aware Graph Convolution for Skeleton-Based Action Recognition CVPR 2020 FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation CVPR 2020 Pretrained Language Models for Dialogue Generation with Multiple Input Sources EMNLP 2020 Context-Aware Cross-Attention for Non-Autoregressive Translation COLING 2020 On Dropping Clusters to Regularize Graph Convolutional Neural Networks ECCV 2020 Learning Unseen Concepts via Hierarchical Decomposition and Composition CVPR 2020 PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation CVPR 2020 Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular Videos IJCAI 2020 Learning with Bounded Instance and Label-dependent Label Noise ICML 2020 Learning Propagation Rules for Attribution Map Generation ECCV 2020 Polysemy Deciphering Network for Human-Object Interaction Detection ECCV 2020 LTF: A Label Transformation Framework for Correcting Label Shift ICML 2020 Deep Streaming Label Learning ICML 2020 Spatiotemporal Attacks for Embodied Agents ECCV 2020 Visual Compositional Learning for Human-Object Interaction Detection ECCV 2020 Self-Attention with Cross-Lingual Position Representation ACL 2020 Deep Modular Co-Attention Networks for Visual Question Answering CVPR 2019 On Exploring Undetermined Relationships for Visual Relationship Detection CVPR 2019 Self-Supervised Representation Learning From Multi-Domain Data ICCV 2019 World From Blur CVPR 2019 Approximated Bilinear Modules for Temporal Modeling ICCV 2019 The University of Sydney’s Machine Translation System for WMT19 ACL 2019 Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query ICCV 2019 Progressive Reconstruction of Visual Structure for Image Inpainting ICCV 2019 Perceptual-Sensitive GAN for Generating Adversarial Patches AAAI 2019 Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification ICCV 2019 Deep Metric Learning With Tuplet Margin Loss ICCV 2019 Smooth Deep Image Generator from Noises AAAI 2019 BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering NAACL 2019 Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts ICCV 2019 Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization ICCV 2019 LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning NIPS 2019 Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning ICCV 2019 Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence NIPS 2019 Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge NIPS 2019 ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering AAAI 2019 Likelihood-Free Overcomplete ICA and Applications In Causal Discovery NIPS 2019 MirrorGAN: Learning Text-To-Image Generation by Redescription CVPR 2019 Theoretical Analysis of Adversarial Learning: A Minimax Approach NIPS 2019 Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping CVPR 2019 Positive-Unlabeled Compression on the Cloud NIPS 2019 SPAGAN: Shortest Path Graph Attention Network IJCAI 2019 Learning from Bad Data via Generation NIPS 2019 Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation NIPS 2019 Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation CVPR 2019 Self-Supervised Representation Learning by Rotation Feature Decoupling CVPR 2019 Image-Question-Answer Synergistic Network for Visual Dialog CVPR 2019 Fast Spatio-Temporal Residual Network for Video Super-Resolution CVPR 2019 DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs CVPR 2019 Learning with Biased Complementary Labels ECCV 2018 Learning Versatile Filters for Efficient Convolutional Neural Networks NIPS 2018 Dual Swap Disentangling NIPS 2018 Geometry-Aware Scene Text Detection With Instance Transformation Network CVPR 2018 Deep Ordinal Regression Network for Monocular Depth Estimation CVPR 2018 Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval CVPR 2018 An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption CVPR 2018 Context Refinement for Object Detection ECCV 2018 Attention-GAN for Object Transfiguration in Wild Images ECCV 2018 Saliency Preservation in Low-Resolution Grayscale Images ECCV 2018 Correcting the Triplet Selection Bias for Triplet Loss ECCV 2018 FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification ECCV 2018 Deep Domain Generalization via Conditional Invariant Adversarial Networks ECCV 2018 Selective Zero-Shot Classification with Augmented Attributes ECCV 2018 Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields ECCV 2018 Semantic Structure-based Unsupervised Deep Hashing IJCAI 2018 Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding IJCAI 2018 Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization IJCAI 2018 R-SVM+: Robust Learning with Privileged Information IJCAI 2018 Online Heterogeneous Transfer Metric Learning IJCAI 2018 Privileged Matrix Factorization for Collaborative Filtering IJCAI 2017 A Coarse-Fine Network for Keypoint Localization ICCV 2017 Beyond Filters: Compact Feature Map for Portable Deep Model ICML 2017 Algorithmic Stability and Hypothesis Complexity ICML 2017 Collaborative Rating Allocation IJCAI 2017 A Joint Intrinsic-Extrinsic Prior Model for Retinex ICCV 2017 Classification and Representation Joint Learning via Deep Networks IJCAI 2017 Fast SVM Trained by Divide-and-Conquer Anchors IJCAI 2017 Understanding How Feature Structure Transfers in Transfer Learning IJCAI 2017 Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning IJCAI 2017 General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer IJCAI 2017 Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic IJCAI 2017 Tag Disentangled Generative Adversarial Network for Object Image Re-rendering IJCAI 2017 On Gleaning Knowledge from Multiple Domains for Active Learning IJCAI 2017 Multi-Positive and Unlabeled Learning IJCAI 2017 Privileged Multi-label Learning IJCAI 2017 Adaptive Manifold Regularized Matrix Factorization for Data Clustering IJCAI 2017 Improving Training of Deep Neural Networks via Singular Value Bounding CVPR 2017 On Compressing Deep Models by Low Rank and Sparse Decomposition CVPR 2017 Multi-Modal Factorized Bilinear Pooling With Co-Attention Learning for Visual Question Answering ICCV 2017 Centered Weight Normalization in Accelerating Training of Deep Neural Networks ICCV 2017 CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NIPS 2016 Multi-View Exclusive Unsupervised Dimension Reduction for Video-Based Facial Expression Recognition IJCAI 2016 Empirical Risk Minimization for Metric Learning Using Privileged Information IJCAI 2016 Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization IJCAI 2016 On Combining Side Information and Unlabeled Data for Heterogeneous Multi-Task Metric Learning IJCAI 2016 Domain Adaptation with Conditional Transferable Components ICML 2016 Multilinear Hyperplane Hashing CVPR 2016 Conditional Graphical Lasso for Multi-Label Image Classification CVPR 2016 Part-Stacked CNN for Fine-Grained Visual Categorization CVPR 2016 Occlusion Boundary Detection via Deep Exploration of Context CVPR 2016 Discovering Temporal Causal Relations from Subsampled Data ICML 2015 Augmenting Strong Supervision Using Web Data for Fine-Grained Categorization ICCV 2015 Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information IJCAI 2015 Multi-Task Model and Feature Joint Learning IJCAI 2015 Multi-view Self-Paced Learning for Clustering IJCAI 2015 A Maximum Entropy Feature Descriptor for Age Invariant Face Recognition CVPR 2015 FaLRR: A Fast Low Rank Representation Solver CVPR 2015 Saliency Propagation From Simple to Difficult CVPR 2015 MUlti-Store Tracker (MUSTer): A Cognitive Psychology Inspired Approach to Object Tracking CVPR 2015 Weakly Supervised Multiclass Video Segmentation CVPR 2014 Large-margin Weakly Supervised Dimensionality Reduction ICML 2014 Semi-Supervised Coupled Dictionary Learning for Person Re-identification CVPR 2014 Greedy Bilateral Sketch, Completion & Smoothing AISTATS 2013 Semi-Supervised Learning with Manifold Fitted Graphs IJCAI 2013 Shifted Subspaces Tracking on Sparse Outlier for Motion Segmentation IJCAI 2013 Visual Reranking through Weakly Supervised Multi-graph Learning ICCV 2013 Tracking via Robust Multi-task Multi-view Joint Sparse Representation ICCV 2013 A Bayesian Factorised Covariance Model for Image Analysis IJCAI 2013 Semi-supervised Node Splitting for Random Forest Construction CVPR 2013 CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels AISTATS 2012 Multi-label Subspace Ensemble AISTATS 2012 Generalization Bound for Infinitely Divisible Empirical Process AISTATS 2011 Simple Exponential Family PCA AISTATS 2010 Risk Bounds for Levy Processes in the PAC-Learning Framework AISTATS 2010 Manifold Regularization for SIR with Rate Root-n Convergence NIPS 2009