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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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2000
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Papers (including subtopics)

On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples NeurIPS 2020 On the Trade-off between Adversarial and Backdoor Robustness NeurIPS 2020 On the training dynamics of deep networks with L_2 regularization NeurIPS 2020 On the Uncertainty of Self-Supervised Monocular Depth Estimation CVPR 2020 On the Use of Web Search to Improve Scientific Collections EMNLP 2020 On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law NeurIPS 2020 On the Weaknesses of Reinforcement Learning for Neural Machine Translation ICLR 2020 On Thompson Sampling for Smoother-than-Lipschitz Bandits AISTATS 2020 On Variational Learning of Controllable Representations for Text without Supervision ICML 2020 On Warm-Starting Neural Network Training NeurIPS 2020 OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization AAAI 2020 Open Compound Domain Adaptation CVPR 2020 Open Problem: Fast and Optimal Online Portfolio Selection COLT 2020 Open Problem: Model Selection for Contextual Bandits COLT 2020 Open-Set Short Utterance Forensic Speaker Verification Using Teacher-Student Network with Explicit Inductive Bias Interspeech 2020 Opportunistic Decoding with Timely Correction for Simultaneous Translation ACL 2020 Optical Flow in Dense Foggy Scenes Using Semi-Supervised Learning CVPR 2020 Optimal $δ$-Correct Best-Arm Selection for Heavy-Tailed Distributions ALT 2020 Optimal Best-arm Identification in Linear Bandits NeurIPS 2020 Optimal Bipartite Network Clustering JMLR 2020 Optimal Continual Learning has Perfect Memory and is NP-hard ICML 2020 Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes COLT 2020 Optimal Learning from Verified Training Data NeurIPS 2020 Optimal Margin Distribution Machine for Multi-Instance Learning IJCAI 2020 Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms NeurIPS 2020