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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

When and How Does In-Distribution Label Help Out-of-Distribution Detection? ICML 2024 When does perceptual alignment benefit vision representations? NeurIPS 2024 When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets EACL 2024 When Do LLMs Need Retrieval Augmentation? Mitigating LLMs’ Overconfidence Helps Retrieval Augmentation ACL 2024 When Generative Adversarial Networks Meet Sequence Labeling Challenges EMNLP 2024 When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search NeurIPS 2024 When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models EMNLP 2024 When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models ACL 2024 When Representations Align: Universality in Representation Learning Dynamics ICML 2024 When Semantic Segmentation Meets Frequency Aliasing ICLR 2024 When should we prefer Decision Transformers for Offline Reinforcement Learning? ICLR 2024 When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract) AAAI 2024 When StyleGAN Meets Stable Diffusion: a W+ Adapter for Personalized Image Generation CVPR 2024 When to Trust LLMs: Aligning Confidence with Response Quality ACL 2024 When Visual Grounding Meets Gigapixel-level Large-scale Scenes: Benchmark and Approach CVPR 2024 Where does In-context Learning Happen in Large Language Models? NeurIPS 2024 Where is the signal in tokenization space? EMNLP 2024 Where Visual Speech Meets Language: VSP-LLM Framework for Efficient and Context-Aware Visual Speech Processing EMNLP 2024 Which questions should I answer? Salience Prediction of Inquisitive Questions EMNLP 2024 Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models EMNLP 2024 Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities EMNLP 2024 Whitening Not Recommended for Classification Tasks in LLMs ACL 2024 WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games NeurIPS 2024 Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2) NeurIPS 2024 Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure ACL 2024