conftrace_

Application Areas

34,437 papers (4 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Domain Adaptation (9,897) Efficient Computing (8,226) Data Augmentation (3,648) Fairness (3,574) Knowledge Distillation (3,219) Privacy (3,022) Domain Generalization (1,972) Model Compression (1,736) Risk Management (1,119) Model Merging (592) Recommender Systems (343) Information Retrieval (249) Text Classification (144) Text Processing (2)

Papers per year

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Papers (including subtopics)

Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation ICML 2024 Fast Streaming Transducer ASR Prototyping via Knowledge Distillation with Whisper EMNLP 2024 FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models NeurIPS 2024 Fast Timing-Conditioned Latent Audio Diffusion ICML 2024 Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation ECCV 2024 Fast Vector Query Processing for Large Datasets Beyond GPU Memory with Reordered Pipelining NSDI 2024 Fast yet Safe: Early-Exiting with Risk Control NeurIPS 2024 Favi-Score: A Measure for Favoritism in Automated Preference Ratings for Generative AI Evaluation ACL 2024 FD3D: Exploiting Foreground Depth Map for Feature-Supervised Monocular 3D Object Detection AAAI 2024 Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation MIDL 2024 FeatUp: A Model-Agnostic Framework for Features at Any Resolution ICLR 2024 Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields CVPR 2024 Feature-aligned N-BEATS with Sinkhorn divergence ICLR 2024 Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize ICML 2024 Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains IJCAI 2024 Feature Structure Matching for Multi-source Sentiment Analysis with Efficient Adaptive Tuning COLING 2024 Feature Unlearning for Pre-trained GANs and VAEs AAAI 2024 FedAS: Bridging Inconsistency in Personalized Federated Learning CVPR 2024 FedAvP: Augment Local Data via Shared Policy in Federated Learning NeurIPS 2024 FedBAT: Communication-Efficient Federated Learning via Learnable Binarization ICML 2024 FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers AAAI 2024 FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients IJCAI 2024 FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning AAAI 2024 FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning AAAI 2024 FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity ACML 2024