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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 Performance-Improving Code Edits ICLR 2024 Learning Performance Maximizing Ensembles with Explainability Guarantees AAAI 2024 Learning Performance-oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation CoRL 2024 Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis AAAI 2024 Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation NeurIPS 2024 Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing EMNLP 2024 Learning Populations of Preferences via Pairwise Comparison Queries AISTATS 2024 Learning predictable and robust neural representations by straightening image sequences NeurIPS 2024 Learning Pronunciation from Other Accents via Pronunciation Knowledge Transfer Interspeech 2024 Learning Quality Labels for Robust Image Classification WACV 2024 Learning Real-World Image De-weathering with Imperfect Supervision AAAI 2024 Learning Regularized Graphon Mean-Field Games with Unknown Graphons JMLR 2024 Learning Representation of Therapist Empathy in Counseling Conversation Using Siamese Hierarchical Attention Network Interspeech 2024 Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning AAAI 2024 Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation IJCAI 2024 Learning Safe Action Models with Partial Observability AAAI 2024 Learning Safety Constraints from Demonstrations with Unknown Rewards AISTATS 2024 Learning Saliency From Fixations WACV 2024 Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform CVPR 2024 Learning Sparse Codes with Entropy-Based ELBOs AISTATS 2024 Learning Spatial Features from Audio-Visual Correspondence in Egocentric Videos CVPR 2024 Learning Spatially-Aware Language and Audio Embeddings NeurIPS 2024 Learning Spatial Similarity Distribution for Few-shot Object Counting IJCAI 2024 Learning Staged Trees from Incomplete Data PGM 2024 Learning Structure-Aware Representations of Dependent Types NeurIPS 2024