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)

Haptics-based Curiosity for Sparse-reward Tasks CoRL 2021 Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning CVPR 2021 Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages NAACL 2021 Hate Speech Detection Based on Sentiment Knowledge Sharing ACL 2021 HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection AAAI 2021 Have Fun Storming the Castle(s)! WACV 2021 Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations. AISTATS 2021 HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps CVPR 2021 Heavy Ball Neural Ordinary Differential Equations NeurIPS 2021 Hell Hath No Fury? Correcting Bias in the NRC Emotion Lexicon ACL 2021 HERALD: An Annotation Efficient Method to Detect User Disengagement in Social Conversations ACL 2021 Heterogeneous Graph Information Bottleneck IJCAI 2021 Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization NeurIPS 2021 Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization ICLR 2021 Heuristic-Guided Reinforcement Learning NeurIPS 2021 H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning IJCAI 2021 HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning AAAI 2021 Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger ACL 2021 Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning ICCV 2021 Hierarchical Graph Convolution Network for Traffic Forecasting AAAI 2021 Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification EMNLP 2021 Hierarchical Indian buffet neural networks for Bayesian continual learning UAI 2021 Hierarchical Information Passing Based Noise-Tolerant Hybrid Learning for Semi-Supervised Human Parsing AAAI 2021 Hierarchically and Cooperatively Learning Traffic Signal Control AAAI 2021 Hierarchical Memory Matching Network for Video Object Segmentation ICCV 2021