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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)

STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models ACL 2024 Stars Are All You Need: A Distantly Supervised Pyramid Network for Unified Sentiment Analysis EACL 2024 Start Simple: Progressive Difficulty Multitask Learning NAACL 2024 State Chrono Representation for Enhancing Generalization in Reinforcement Learning NeurIPS 2024 State Representation Learning Using an Unbalanced Atlas ICLR 2024 Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements CVPR 2024 Statistical curriculum learning: An elimination algorithm achieving an oracle risk COLT 2024 Statistical Efficiency of Distributional Temporal Difference Learning NeurIPS 2024 Statistical Rejection Sampling Improves Preference Optimization ICLR 2024 Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits AAAI 2024 Stealthy Attack on Large Language Model based Recommendation ACL 2024 Steering Prototypes With Prompt-Tuning for Rehearsal-Free Continual Learning WACV 2024 STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment ICML 2024 STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation AAAI 2024 Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter? EMNLP 2024 Step Differences in Instructional Video CVPR 2024 Step-level Value Preference Optimization for Mathematical Reasoning EMNLP 2024 Stepping Forward on the Last Mile NeurIPS 2024 STEP - Towards Structured Scene-Text Spotting WACV 2024 Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models AAAI 2024 Stereographic Spherical Sliced Wasserstein Distances ICML 2024 Sterling: Synergistic Representation Learning on Bipartite Graphs AAAI 2024 StFX-NLP at SemEval-2024 Task 9: BRAINTEASER: Three Unsupervised Riddle-Solvers SemEval 2024 STL: Still Tricky Logic (for System Validation, Even When Showing Your Work) NeurIPS 2024 Stochastic Binary Network for Universal Domain Adaptation WACV 2024