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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)

Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds COLT 2024 Learning Invariant Inter-pixel Correlations for Superpixel Generation AAAI 2024 Learning Job Title Representation from Job Description Aggregation Network ACL 2024 Learning Label Hierarchy with Supervised Contrastive Learning EACL 2024 Learning Label-Specific Multiple Local Metrics for Multi-Label Classification IJCAI 2024 Learning Latent Partial Matchings with Gumbel-IPF Networks AISTATS 2024 Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity NeurIPS 2024 Learning MDL Logic Programs from Noisy Data AAAI 2024 Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach ICLR 2024 Learning Multi-Agent Communication with Contrastive Learning ICLR 2024 Learning Multi-Dimensional Human Preference for Text-to-Image Generation CVPR 2024 Learning Multimodal Contrast with Cross-modal Memory and Reinforced Contrast Recognition ACL 2024 Learning Multi-Modal Cross-Scale Deformable Transformer Network for Unregistered Hyperspectral Image Super-resolution AAAI 2024 Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing AAAI 2024 Learning Multi-Object Positional Relationships via Emergent Communication AAAI 2024 Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding AAAI 2024 Learning Natural Consistency Representation for Face Forgery Video Detection ECCV 2024 Learning New Tasks from a Few Examples with Soft-Label Prototypes ACL 2024 Learning Object State Changes in Videos: An Open-World Perspective CVPR 2024 Learning Only When It Matters: Cost-Aware Long-Tailed Classification AAAI 2024 Learning Optimal Advantage from Preferences and Mistaking It for Reward AAAI 2024 Learning Optimal Contracts: How to Exploit Small Action Spaces ICLR 2024 Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls JMLR 2024 Learning or Self-aligning? Rethinking Instruction Fine-tuning ACL 2024 Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks ICLR 2024