Gal Chechik

Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions AAAI 2026 Data-Driven Loss Functions for Inference-Time Optimization in Text-to-Image WACV 2026 Adapting to the Unknown: Training-Free Audio-Visual Event Perception with Dynamic Thresholds CVPR 2025 Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models ICLR 2025 IT$^3$: Idempotent Test-Time Training ICML 2025 Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion ACL 2025 Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models ICLR 2025 Make It Count: Text-to-Image Generation with an Accurate Number of Objects CVPR 2025 Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models NAACL 2025 Policy Gradient with Tree Expansion ICML 2025 RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression CVPR 2025 TriTex: Learning Texture from a Single Mesh via Triplane Semantic Features CVPR 2025 Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning ICML 2024 Breathing Life Into Sketches Using Text-to-Video Priors CVPR 2024 Equivariant Deep Weight Space Alignment ICML 2024 Generating Images of Rare Concepts Using Pre-trained Diffusion Models AAAI 2024 Improved Generalization of Weight Space Networks via Augmentations ICML 2024 Late to the Party? On-Demand Unlabeled Personalized Federated Learning WACV 2024 LCM-Lookahead for Encoder-based Text-to-Image Personalization ECCV 2024 Text2Model: Text-based Model Induction for Zero-shot Image Classification EMNLP 2024 Where's Waldo: Diffusion Features For Personalized Segmentation and Retrieval NeurIPS 2024 An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion ICLR 2023 Auxiliary Learning as an Asymmetric Bargaining Game ICML 2023 Equivariant Architectures for Learning in Deep Weight Spaces ICML 2023 Example-based Hypernetworks for Multi-source Adaptation to Unseen Domains EMNLP 2023 Graph Positional Encoding via Random Feature Propagation ICML 2023 Guided Deep Kernel Learning UAI 2023 Learning to Initiate and Reason in Event-Driven Cascading Processes ICML 2023 Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment NeurIPS 2023 Norm-guided latent space exploration for text-to-image generation NeurIPS 2023 Planning and Learning with Adaptive Lookahead AAAI 2023 Point Cloud Completion with Pretrained Text-to-Image Diffusion Models NeurIPS 2023 Train Hard, Fight Easy: Robust Meta Reinforcement Learning NeurIPS 2023 Coupled Training for Multi-Source Domain Adaptation WACV 2022 DETReg: Unsupervised Pretraining With Region Priors for Object Detection CVPR 2022 Multi-Task Learning as a Bargaining Game ICML 2022 Object-Region Video Transformers CVPR 2022 On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning ICLR 2022 Optimizing Tensor Network Contraction Using Reinforcement Learning ICML 2022 Reinforcement Learning for Datacenter Congestion Control AAAI 2022 Reinforcement Learning with a Terminator NeurIPS 2022 "“This Is My Unicorn, Fluffy”: Personalizing Frozen Vision-Language Representations" ECCV 2022 ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning ICCV 2021 Auxiliary Learning by Implicit Differentiation ICLR 2021 Compositional Video Synthesis with Action Graphs ICML 2021 Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks ICML 2021 Distributional Robustness Loss for Long-Tail Learning ICCV 2021 From Generalized Zero-Shot Learning to Long-Tail With Class Descriptors WACV 2021 From Local Structures to Size Generalization in Graph Neural Networks ICML 2021 GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning ICML 2021 Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction NeurIPS 2021 Known unknowns: Learning novel concepts using reasoning-by-elimination UAI 2021 Learning the Pareto Front with Hypernetworks ICLR 2021 On Learning Sets of Symmetric Elements (Extended Abstract) IJCAI 2021 Personalized Federated Learning using Hypernetworks ICML 2021 Personalized Federated Learning With Gaussian Processes NeurIPS 2021 Self-Supervised Learning for Domain Adaptation on Point Clouds WACV 2021 A causal view of compositional zero-shot recognition NeurIPS 2020 Contrastive Learning for Weakly Supervised Phrase Grounding ECCV 2020 Differentiable Scene Graphs WACV 2020 Learning Canonical Representations for Scene Graph to Image Generation ECCV 2020 Learning Object Permanence from Video ECCV 2020 On Learning Sets of Symmetric Elements ICML 2020 ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization EMNLP 2020 Adaptive Confidence Smoothing for Generalized Zero-Shot Learning CVPR 2019 A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation EMNLP 2019 Informative Object Annotations: Tell Me Something I Don't Know CVPR 2019 Joint Optimization for Cooperative Image Captioning ICCV 2019 Multilingual word translation using auxiliary languages EMNLP 2019 Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction NeurIPS 2018 Context-Aware Captions From Context-Agnostic Supervision CVPR 2017 Instance-Level Label Propagation with Multi-Instance Learning IJCAI 2017 Learning From Noisy Large-Scale Datasets With Minimal Supervision CVPR 2017 Coordinate-descent for learning orthogonal matrices through Givens rotations ICML 2014 Modeling Musical Influence with Topic Models ICML 2013 Online Learning in the Embedded Manifold of Low-rank Matrices JMLR 2012 Large Scale Online Learning of Image Similarity Through Ranking JMLR 2010 Online Learning in The Manifold of Low-Rank Matrices NeurIPS 2010 An Online Algorithm for Large Scale Image Similarity Learning NeurIPS 2009 Max-margin Classification of Data with Absent Features JMLR 2008 Euclidean Embedding of Co-occurrence Data JMLR 2007 Max-margin classification of incomplete data NeurIPS 2006 Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks NeurIPS 2006 Information Bottleneck for Gaussian Variables JMLR 2005