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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)

What do we expect from Multiple-choice QA Systems? EMNLP 2020 What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics AAAI 2020 What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization? ICML 2020 What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients CVPR 2020 What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images CVPR 2020 What Makes A Good Story? Designing Composite Rewards for Visual Storytelling AAAI 2020 What Makes for Good Views for Contrastive Learning? NeurIPS 2020 What Makes Training Multi-Modal Classification Networks Hard? CVPR 2020 What Question Answering can Learn from Trivia Nerds ACL 2020 What’s in a Name? Are BERT Named Entity Representations just as Good for any other Name? ACL 2020 What You See May Not Be What You Get: UCB Bandit Algorithms Robust to ε-Contamination UAI 2020 When BERT Plays the Lottery, All Tickets Are Winning EMNLP 2020 When deep denoising meets iterative phase retrieval ICML 2020 When Does Self-Supervision Help Graph Convolutional Networks? ICML 2020 When Does Unsupervised Machine Translation Work? EMNLP 2020 When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract) AAAI 2020 When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks CVPR 2020 Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation AAAI 2020 Which *BERT? A Survey Organizing Contextualized Encoders EMNLP 2020 Whisper Activity Detection Using CNN-LSTM Based Attention Pooling Network Trained for a Speaker Identification Task Interspeech 2020 Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision EMNLP 2020 Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks ICLR 2020 WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization EMNLP 2020 Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness EMNLP 2020 Will it Unblend? EMNLP 2020