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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147

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 Variance Minimization Criterion to Active Learning on Graphs AISTATS 2012 Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button NeurIPS 2012 Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit AISTATS 2012 Bayesian active learning with localized priors for fast receptive field characterization NeurIPS 2012 Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets AISTATS 2012 Bayesian Hierarchical Reinforcement Learning NeurIPS 2012 Bayesian models for Large-scale Hierarchical Classification NeurIPS 2012 Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence NeurIPS 2012 Beyond Logarithmic Bounds in Online Learning AISTATS 2012 Calibrated Elastic Regularization in Matrix Completion NeurIPS 2012 Cardinality Restricted Boltzmann Machines NeurIPS 2012 Causal discovery with scale-mixture model for spatiotemporal variance dependencies NeurIPS 2012 Classification Calibration Dimension for General Multiclass Losses NeurIPS 2012 Clustering by Nonnegative Matrix Factorization Using Graph Random Walk NeurIPS 2012 Cocktail Party Processing via Structured Prediction NeurIPS 2012 Collaborative Gaussian Processes for Preference Learning NeurIPS 2012 Collaborative Ranking With 17 Parameters NeurIPS 2012 Confusion-Based Online Learning and a Passive-Aggressive Scheme NeurIPS 2012 Consistency of Nearest Neighbor Classification under Selective Sampling COLT 2012 Constrained 1-Spectral Clustering AISTATS 2012 Contextual Bandit Learning with Predictable Rewards AISTATS 2012 Continuous Relaxations for Discrete Hamiltonian Monte Carlo NeurIPS 2012 Controlled Recognition Bounds for Visual Learning and Exploration NeurIPS 2012 Controlling Selection Bias in Causal Inference AISTATS 2012 Convex Multi-view Subspace Learning NeurIPS 2012