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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Papers (including subtopics)

Long-tailed Diffusion Models with Oriented Calibration ICLR 2024 Long-tailed Object Detection Pretraining: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction NeurIPS 2024 Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts ICML 2024 Long-term Detection and Monitory of Chinese Urban Village Using Satellite Imagery IJCAI 2024 Long-Term Fair Decision Making through Deep Generative Models AAAI 2024 Long-Term Safe Reinforcement Learning with Binary Feedback AAAI 2024 Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data ICLR 2024 Long Unit Word Tokenization and Bunsetsu Segmentation of Historical Japanese ACL 2024 LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory IJCAI 2024 LooGLE: Can Long-Context Language Models Understand Long Contexts? ACL 2024 Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining ICML 2024 Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps EMNLP 2024 LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate NeurIPS 2024 Looking 3D: Anomaly Detection with 2D-3D Alignment CVPR 2024 Looking Similar Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning CVPR 2024 Looking within the self: Investigating the Impact of Data Augmentation with Self-training on Automatic Speech Recognition for Hupa EACL 2024 Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models NeurIPS 2024 Look-Up Table Compression for Efficient Image Restoration CVPR 2024 LookupViT: Compressing visual information to a limited number of tokens ECCV 2024 Look Who’s Talking Now: Covert Channels From Biased LLMs EMNLP 2024 Looped Transformers are Better at Learning Learning Algorithms ICLR 2024 LoRA+: Efficient Low Rank Adaptation of Large Models ICML 2024 LoRAExit: Empowering Dynamic Modulation of LLMs in Resource-limited Settings using Low-rank Adapters EMNLP 2024 LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks ACL 2024 LoRA-GA: Low-Rank Adaptation with Gradient Approximation NeurIPS 2024