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)

Object Detection based Deep Unsupervised Hashing IJCAI 2019 Object landmark discovery through unsupervised adaptation NeurIPS 2019 ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models NeurIPS 2019 Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks CVPR 2019 OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations CVPR 2019 Offline Contextual Bandits with High Probability Fairness Guarantees NeurIPS 2019 Offline Contextual Bayesian Optimization NeurIPS 2019 Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift AAAI 2019 Off-Policy Deep Reinforcement Learning without Exploration ICML 2019 Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy ICLR 2019 Off-Policy Evaluation via Off-Policy Classification NeurIPS 2019 Off-Policy Policy Gradient with Stationary Distribution Correction UAI 2019 OIL: Observational Imitation Learning RSS 2019 On Adversarial Mixup Resynthesis NeurIPS 2019 Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once ICCV 2019 On Certifying Non-Uniform Bounds against Adversarial Attacks ICML 2019 On Committee Representations of Adversarial Learning Models for Question-Answer Ranking ACL 2019 On Communication Complexity of Classification Problems COLT 2019 One-Class Adversarial Nets for Fraud Detection AAAI 2019 One-Network Adversarial Fairness AAAI 2019 One-Pass Incomplete Multi-View Clustering AAAI 2019 One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers NeurIPS 2019 On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models NAACL 2019 On Exploring Undetermined Relationships for Visual Relationship Detection CVPR 2019 On Fenchel Mini-Max Learning NeurIPS 2019