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)

Variance Reduced Policy Evaluation with Smooth Function Approximation NeurIPS 2019 Variance Reduction in Bipartite Experiments through Correlation Clustering NeurIPS 2019 Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines AAAI 2019 Variational Adversarial Active Learning ICCV 2019 Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow ICLR 2019 Variational Inference MPC for Bayesian Model-based Reinforcement Learning CoRL 2019 Variational Information Distillation for Knowledge Transfer CVPR 2019 Variational Information Planning for Sequential Decision Making AISTATS 2019 Variational Pretraining for Semi-supervised Text Classification ACL 2019 Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images CVPR 2019 Variational Regret Bounds for Reinforcement Learning UAI 2019 Variational Sparse Coding UAI 2019 Variation Generalized Feature Learning via Intra-view Variation Adaptation IJCAI 2019 Verifiable and Interpretable Reinforcement Learning through Program Synthesis AAAI 2019 Verified Uncertainty Calibration NeurIPS 2019 Verifying Robustness of Gradient Boosted Models AAAI 2019 Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach CVPR 2019 VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild CVPR 2019 Very Deep Self-Attention Networks for End-to-End Speech Recognition Interspeech 2019 ViCo: Word Embeddings From Visual Co-Occurrences ICCV 2019 VideoBERT: A Joint Model for Video and Language Representation Learning ICCV 2019 Video Object Segmentation Using Space-Time Memory Networks ICCV 2019 Video Summarization by Learning From Unpaired Data CVPR 2019 VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition AAAI 2019 View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions AAAI 2019