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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26

18

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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)

Particle-based Variational Inference for Continuous Systems NeurIPS 2009 Periodic Step Size Adaptation for Single Pass On-line Learning NeurIPS 2009 POMDPs for robotic tasks with mixed observability RSS 2009 Positive Semidefinite Metric Learning with Boosting NeurIPS 2009 Posterior vs Parameter Sparsity in Latent Variable Models NeurIPS 2009 Potential-Based Agnostic Boosting NeurIPS 2009 Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory NeurIPS 2009 Regularized Distance Metric Learning:Theory and Algorithm NeurIPS 2009 Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks NeurIPS 2009 RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments JMLR 2009 Robust Process Discovery with Artificial Negative Events JMLR 2009 Robust Value Function Approximation Using Bilinear Programming NeurIPS 2009 Semi-Supervised Learning in Gigantic Image Collections NeurIPS 2009 Semi-supervised Learning using Sparse Eigenfunction Bases NeurIPS 2009 Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction NeurIPS 2009 Semi-Supervised Training for the Averaged Perceptron POS Tagger EACL 2009 Sequential effects reflect parallel learning of multiple environmental regularities NeurIPS 2009 Sharing Features among Dynamical Systems with Beta Processes NeurIPS 2009 Slow, Decorrelated Features for Pretraining Complex Cell-like Networks NeurIPS 2009 Slow Learners are Fast NeurIPS 2009 Solving Stochastic Games NeurIPS 2009 Sparse and Locally Constant Gaussian Graphical Models NeurIPS 2009 Sparse Estimation Using General Likelihoods and Non-Factorial Priors NeurIPS 2009 Sparsistent Learning of Varying-coefficient Models with Structural Changes NeurIPS 2009 Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data NeurIPS 2009