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

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8

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26

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135

136

147

149

220

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316

526

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477

660

1,314

2,083

3,689

4,652

5,914

6,826

8,201

8,755

9,258

2,019

2000

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Papers (including subtopics)

A Boosting Framework on Grounds of Online Learning NeurIPS 2014 Accelerated Mini-batch Randomized Block Coordinate Descent Method NeurIPS 2014 A Convergence Rate Analysis for LogitBoost, MART and Their Variant ICML 2014 Active Annotation Translation CVPR 2014 Active Area Search via Bayesian Quadrature AISTATS 2014 Active Boundary Annotation using Random MAP Perturbations AISTATS 2014 Active Contextual Policy Search JMLR 2014 Active Detection via Adaptive Submodularity ICML 2014 Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation CVPR 2014 Active Imitation Learning: Formal and Practical Reductions to I.I.D. Learning JMLR 2014 Active Learning and Best-Response Dynamics NeurIPS 2014 Active Learning for Undirected Graphical Model Selection AISTATS 2014 Active Learning of Parameterized Skills ICML 2014 Active Learning Using Smooth Relative Regret Approximations with Applications JMLR 2014 Active Regression by Stratification NeurIPS 2014 Active Reward Learning RSS 2014 Active Sampling for Subjective Image Quality Assessment CVPR 2014 Active Transfer Learning under Model Shift ICML 2014 Adaptive Monte Carlo via Bandit Allocation ICML 2014 A Deep Semi-NMF Model for Learning Hidden Representations ICML 2014 A Discriminative Latent Variable Model for Online Clustering ICML 2014 Admixture of Poisson MRFs: A Topic Model with Word Dependencies ICML 2014 A Drifting-Games Analysis for Online Learning and Applications to Boosting NeurIPS 2014 Advances in Learning Bayesian Networks of Bounded Treewidth NeurIPS 2014 A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data AISTATS 2014