conftrace_

Deep Learning

78,198 papers (26 classified directly here)

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

Learning Types (32,670) Architectures (30,950) Models (20,488) Techniques (9,432) Optimization & Theory (7,804) Application Areas (273)

Papers per year

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859

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5,368

6,434

7,726

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9,951

12,524

14,487

6,029

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Papers (including subtopics)

FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models CVPR 2024 Facilitating Multimodal Classification via Dynamically Learning Modality Gap NeurIPS 2024 Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning? ICLR 2024 FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks AAAI 2024 FactAlign: Long-form Factuality Alignment of Large Language Models EMNLP 2024 Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models ACL 2024 Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers EMNLP 2024 Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification ACL 2024 FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Action Segmentation CVPR 2024 Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation NeurIPS 2024 Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning AAAI 2024 Factorized Explainer for Graph Neural Networks AAAI 2024 FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing NeurIPS 2024 FactorSim: Generative Simulation via Factorized Representation NeurIPS 2024 FADES: Fair Disentanglement with Sensitive Relevance CVPR 2024 Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models ICML 2024 FairCLIP: Harnessing Fairness in Vision-Language Learning CVPR 2024 FAIR-FER: A Latent Alignment Approach for Mitigating Bias in Facial Expression Recognition (Student Abstract) AAAI 2024 FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding EMNLP 2024 Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks AAAI 2024 FairGT: A Fairness-aware Graph Transformer IJCAI 2024 FairProof : Confidential and Certifiable Fairness for Neural Networks ICML 2024 FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation NeurIPS 2024 FairRAG: Fair Human Generation via Fair Retrieval Augmentation CVPR 2024 fairret: a Framework for Differentiable Fairness Regularization Terms ICLR 2024