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

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135

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149

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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 Theory of Multiclass Boosting NeurIPS 2010 Avoiding False Positive in Multi-Instance Learning NeurIPS 2010 Basis Construction from Power Series Expansions of Value Functions NeurIPS 2010 Batch Bayesian Optimization via Simulation Matching NeurIPS 2010 Bayesian Online Learning for Multi-label and Multi-variate Performance Measures AISTATS 2010 b-Bit Minwise Hashing for Estimating Three-Way Similarities NeurIPS 2010 Beyond Actions: Discriminative Models for Contextual Group Activities NeurIPS 2010 Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference NeurIPS 2010 Boosted Optimization for Network Classification AISTATS 2010 Bootstrapping Apprenticeship Learning NeurIPS 2010 Causal discovery in multiple models from different experiments NeurIPS 2010 Closing the Learning-Planning Loop with Predictive State Representations RSS 2010 Combining Experiments to Discover Linear Cyclic Models with Latent Variables AISTATS 2010 Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning NeurIPS 2010 Conceptual Imitation Learning: An Application to Human-robot Interaction ACML 2010 Conditional Density Estimation via Least-Squares Density Ratio Estimation AISTATS 2010 Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories NeurIPS 2010 Convex Multiple-Instance Learning by Estimating Likelihood Ratio NeurIPS 2010 Co-regularization Based Semi-supervised Domain Adaptation NeurIPS 2010 Covariance in Unsupervised Learning of Probabilistic Grammars JMLR 2010 Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication NeurIPS 2010 Decision Tree for Dynamic and Uncertain Data Streams ACML 2010 Descent Methods for Tuning Parameter Refinement AISTATS 2010 Deterministic Single-Pass Algorithm for LDA NeurIPS 2010 Dirichlet Process Mixtures of Generalized Linear Models AISTATS 2010