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

12

26

18

20

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)

Exploring Strategies for Training Deep Neural Networks JMLR 2009 Filtering Abstract Senses From Image Search Results NeurIPS 2009 Free energy score space NeurIPS 2009 From PAC-Bayes Bounds to KL Regularization NeurIPS 2009 Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning NeurIPS 2009 Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes NeurIPS 2009 Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NeurIPS 2009 Heavy-Tailed Symmetric Stochastic Neighbor Embedding NeurIPS 2009 Help or Hinder: Bayesian Models of Social Goal Inference NeurIPS 2009 Heterogeneous multitask learning with joint sparsity constraints NeurIPS 2009 Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions NeurIPS 2009 Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques JMLR 2009 Improving Existing Fault Recovery Policies NeurIPS 2009 Incorporating Functional Knowledge in Neural Networks JMLR 2009 Label Selection on Graphs NeurIPS 2009 Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering NeurIPS 2009 Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization NeurIPS 2009 Learning in Markov Random Fields using Tempered Transitions NeurIPS 2009 Learning Linear Ranking Functions for Beam Search with Application to Planning JMLR 2009 Learning Permutations with Exponential Weights JMLR 2009 Learning to Explore and Exploit in POMDPs NeurIPS 2009 Learning When Concepts Abound JMLR 2009 Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability NeurIPS 2009 Manifold Regularization for SIR with Rate Root-n Convergence NeurIPS 2009 Maximin affinity learning of image segmentation NeurIPS 2009