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)

Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games NeurIPS 2016 Minimizing the Maximal Loss: How and Why ICML 2016 Minimum Density Hyperplanes JMLR 2016 Minimum Regret Search for Single- and Multi-Task Optimization ICML 2016 MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection SemEval 2016 Mixture Proportion Estimation via Kernel Embeddings of Distributions ICML 2016 mlr: Machine Learning in R JMLR 2016 Model Adaptation and Active Learning in the BBN Speech Activity Detection System for the DARPA RATS Program Interspeech 2016 Model-Free Imitation Learning with Policy Optimization ICML 2016 Model-Free Trajectory Optimization for Reinforcement Learning ICML 2016 Modeling and Transforming Speech Using Variational Autoencoders Interspeech 2016 Modelling Interactions in High-dimensional Data with Backtracking JMLR 2016 More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning NeurIPS 2016 Motion From Structure (MfS): Searching for 3D Objects in Cluttered Point Trajectories CVPR 2016 Multi-armed Bandits: Competing with Optimal Sequences NeurIPS 2016 Multi-Cue Zero-Shot Learning With Strong Supervision CVPR 2016 Multi-Domain Joint Semantic Frame Parsing Using Bi-Directional RNN-LSTM Interspeech 2016 Multi-Label Classification with Cutset Networks PGM 2016 Multi-Label Ranking From Positive and Unlabeled Data CVPR 2016 Multi-Language Multi-Speaker Acoustic Modeling for LSTM-RNN Based Statistical Parametric Speech Synthesis Interspeech 2016 Multi-Language Neural Network Language Models Interspeech 2016 Multilinear Hyperplane Hashing CVPR 2016 Multilingual Data Selection for Low Resource Speech Recognition Interspeech 2016 Multilingual Supervision of Semantic Annotation COLING 2016 Multimodal Fusion of Multirate Acoustic, Prosodic, and Lexical Speaker Characteristics for Native Language Identification Interspeech 2016