Skip to content
conftrace_

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

1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Off-Policy Evaluation and Learning for External Validity under a Covariate Shift NeurIPS 2020 Off-Policy Evaluation in Partially Observable Environments AAAI 2020 Off-Policy Evaluation via the Regularized Lagrangian NeurIPS 2020 Offset Calibration for Appearance-Based Gaze Estimation via Gaze Decomposition WACV 2020 Old Dog Learns New Tricks: Randomized UCB for Bandit Problems AISTATS 2020 Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm CVPR 2020 OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting AAAI 2020 On Adaptive Attacks to Adversarial Example Defenses NeurIPS 2020 On Adaptivity in Information-Constrained Online Learning AAAI 2020 On Breaking Deep Generative Model-based Defenses and Beyond ICML 2020 Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free NeurIPS 2020 On Computation and Generalization of Generative Adversarial Imitation Learning ICLR 2020 On Contrastive Learning for Likelihood-free Inference ICML 2020 On Deep Unsupervised Active Learning IJCAI 2020 One-bit Supervision for Image Classification NeurIPS 2020 One Man's Trash Is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples CVPR 2020 One Model to Pronounce Them All: Multilingual Grapheme-to-Phoneme Conversion With a Transformer Ensemble ACL 2020 One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control ICML 2020 One-sample Guided Object Representation Disassembling NeurIPS 2020 One-Shot Adversarial Attacks on Visual Tracking With Dual Attention CVPR 2020 One-Shot Domain Adaptation for Face Generation CVPR 2020 One-Shot Image Classification by Learning to Restore Prototypes AAAI 2020 One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases ACL 2020 One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL NeurIPS 2020 On Identifying Hashtags in Disaster Twitter Data AAAI 2020