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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Entropic Open-Set Active Learning AAAI 2024 Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors ICLR 2024 Environment Curriculum Generation via Large Language Models CoRL 2024 EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models NeurIPS 2024 Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward AAAI 2024 Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024 EPSD: Early Pruning with Self-Distillation for Efficient Model Compression AAAI 2024 EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning ICML 2024 Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context AAAI 2024 Equivariant bootstrapping for uncertainty quantification in imaging inverse problems AISTATS 2024 Equivariant Multi-Modality Image Fusion CVPR 2024 Equivariant Neural Diffusion for Molecule Generation NeurIPS 2024 Equivariant Plug-and-Play Image Reconstruction CVPR 2024 Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning ICML 2024 ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models NeurIPS 2024 ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation AAAI 2024 ERMVP: Communication-Efficient and Collaboration-Robust Multi-Vehicle Perception in Challenging Environments CVPR 2024 Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game NeurIPS 2024 Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models ACL 2024 Error bounds for any regression model using Gaussian processes with gradient information AISTATS 2024 Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View NeurIPS 2024 Error Detection in Egocentric Procedural Task Videos CVPR 2024 ES3: Evolving Self-Supervised Learning of Robust Audio-Visual Speech Representations CVPR 2024 ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation CVPR 2024 ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models EMNLP 2024