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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316

526

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477

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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)

Overlearning in Marginal Distribution-Based ICA: Analysis and Solutions JMLR 2003 Preference Elicitation via Theory Refinement JMLR 2003 Relational Learning as Search in a Critical Region JMLR 2003 Smooth Boosting and Learning with Malicious Noise JMLR 2003 Statistical Dynamics of On-line Independent Component Analysis JMLR 2003 Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds JMLR 2003 Ultraconservative Online Algorithms for Multiclass Problems JMLR 2003 Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions JMLR 2002 Coupled Clustering: A Method for Detecting Structural Correspondence JMLR 2002 Evaluating Translational Correspondence using Annotation Projection ACL 2002 Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling JMLR 2002 Learning Rules and Their Exceptions JMLR 2002 Memory-Based Shallow Parsing JMLR 2002 Multiple-Instance Learning of Real-Valued Data JMLR 2002 On Online Learning of Decision Lists JMLR 2002 Round Robin Classification JMLR 2002 Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem JMLR 2002 The Set Covering Machine JMLR 2002 Tracking a Small Set of Experts by Mixing Past Posteriors JMLR 2002 A Generalized Kernel Approach to Dissimilarity-based Classification JMLR 2001 A New Approximate Maximal Margin Classification Algorithm JMLR 2001 Bayes Point Machines JMLR 2001 Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms JMLR 2001 Regularized Principal Manifolds JMLR 2001 Support Vector Machine Active Learning with Applications to Text Classification JMLR 2001