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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)

WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents NeurIPS 2022 WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models NAACL 2022 WeDef: Weakly Supervised Backdoor Defense for Text Classification EMNLP 2022 Weighted Distillation with Unlabeled Examples NeurIPS 2022 Weighted Gaussian Process Bandits for Non-stationary Environments AISTATS 2022 Weighted self Distillation for Chinese word segmentation ACL 2022 Weight Perturbation as Defense against Adversarial Word Substitutions EMNLP 2022 Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy ICML 2022 What are the best Systems? New Perspectives on NLP Benchmarking NeurIPS 2022 What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? NeurIPS 2022 What Can Transformers Learn In-Context? A Case Study of Simple Function Classes NeurIPS 2022 What Can We Learn Even from the Weakest? Learning Sketches for Programmatic Strategies AAAI 2022 What Do Users Care About? Detecting Actionable Insights from User Feedback NAACL 2022 What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Review NAACL 2022 What is Done is Done: an Incremental Approach to Semantic Shift Detection ACL 2022 What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning IJCAI 2022 What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs NeurIPS 2022 What is wrong with you?: Leveraging User Sentiment for Automatic Dialog Evaluation ACL 2022 What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization? ICML 2022 What Language Model to Train if You Have One Million GPU Hours? EMNLP 2022 What Makes Data-to-Text Generation Hard for Pretrained Language Models? EMNLP 2022 What Makes for Effective Few-Shot Point Cloud Classification? WACV 2022 What Makes Good In-Context Examples for GPT-3? ACL 2022 What Makes Graph Neural Networks Miscalibrated? NeurIPS 2022 What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment EMNLP 2022