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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)

Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation CVPR 2024 Temporal Validity Change Prediction ACL 2024 TenGAN: Pure Transformer Encoders Make an Efficient Discrete GAN for De Novo Molecular Generation AISTATS 2024 Testable Learning of General Halfspaces with Adversarial Label Noise COLT 2024 Testable Learning with Distribution Shift COLT 2024 Testing exchangeability by pairwise betting AISTATS 2024 Testing Generated Distributions in GANs to Penalize Mode Collapse AISTATS 2024 Testing Semantic Importance via Betting NeurIPS 2024 TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series ICLR 2024 Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment NeurIPS 2024 Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration AAAI 2024 Test-Time Dynamic Image Fusion NeurIPS 2024 Test-Time Linear Out-of-Distribution Detection CVPR 2024 Test-Time Personalization with Meta Prompt for Gaze Estimation AAAI 2024 Test-Time Zero-Shot Temporal Action Localization CVPR 2024 Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning NeurIPS 2024 T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step ACL 2024 Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback EMNLP 2024 Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction CVPR 2024 Text2Model: Text-based Model Induction for Zero-shot Image Classification EMNLP 2024 Text-Aware Diffusion for Policy Learning NeurIPS 2024 Text-aware Speech Separation for Multi-talker Keyword Spotting Interspeech 2024 Text-Based Occluded Person Re-identification via Multi-Granularity Contrastive Consistency Learning AAAI 2024 Text Diffusion with Reinforced Conditioning AAAI 2024 TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction ACL 2024