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)

Revisiting Adversarial Risk AISTATS 2019 Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution ACL 2019 Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning CVPR 2019 Revisiting Low-Resource Neural Machine Translation: A Case Study ACL 2019 Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function AAAI 2019 Revisiting NMT for Normalization of Early English Letters NAACL 2019 Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow UAI 2019 Revisiting Self-Supervised Visual Representation Learning CVPR 2019 Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction AAAI 2019 Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs NeurIPS 2019 Rewarding Coreference Resolvers for Being Consistent with World Knowledge EMNLP 2019 RGBD Based Gaze Estimation via Multi-Task CNN AAAI 2019 RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment ICCV 2019 Risk-Sensitive Generative Adversarial Imitation Learning AISTATS 2019 Rob-GAN: Generator, Discriminator, and Adversarial Attacker CVPR 2019 RoboNet: Large-Scale Multi-Robot Learning CoRL 2019 Robot Adaptation to Unstructured Terrains by Joint Representation and Apprenticeship Learning RSS 2019 Robust Audio Adversarial Example for a Physical Attack IJCAI 2019 Robust Bayesian and Light Neural Networks for Voice Spoofing Detection Interspeech 2019 Robust exploration in linear quadratic reinforcement learning NeurIPS 2019 Robust Histopathology Image Analysis: To Label or to Synthesize? CVPR 2019 Robust Inference via Generative Classifiers for Handling Noisy Labels ICML 2019 Robust Multi-agent Counterfactual Prediction NeurIPS 2019 Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient AAAI 2019 Robustness Guarantees for Bayesian Inference with Gaussian Processes AAAI 2019