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

231

316

526

460

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)

FilterBoost: Regression and Classification on Large Datasets NeurIPS 2007 Fitted Q-iteration in continuous action-space MDPs NeurIPS 2007 Gaussian Process Models for Link Analysis and Transfer Learning NeurIPS 2007 Generalization Error Bounds in Semi-supervised Classification Under the Cluster Assumption JMLR 2007 Graph Laplacians and their Convergence on Random Neighborhood Graphs JMLR 2007 Heterogeneous Component Analysis NeurIPS 2007 Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion NeurIPS 2007 Hierarchical Penalization NeurIPS 2007 Hippocampal Contributions to Control: The Third Way NeurIPS 2007 HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation NeurIPS 2007 Incremental Natural Actor-Critic Algorithms NeurIPS 2007 Integrating NaÃ¯ve Bayes and FOIL JMLR 2007 Iterative Non-linear Dimensionality Reduction with Manifold Sculpting NeurIPS 2007 Large Margin Semi-supervised Learning JMLR 2007 Learning Bounds for Domain Adaptation NeurIPS 2007 Learning Horizontal Connections in a Sparse Coding Model of Natural Images NeurIPS 2007 Learning Horn Expressions with LOGAN-H JMLR 2007 Learning Monotonic Transformations for Classification NeurIPS 2007 Learning the 2-D Topology of Images NeurIPS 2007 Learning to classify complex patterns using a VLSI network of spiking neurons NeurIPS 2007 Learning Visual Attributes NeurIPS 2007 Learning with Tree-Averaged Densities and Distributions NeurIPS 2007 Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NeurIPS 2007 Map-Based Precision Vehicle Localization in Urban Environments RSS 2007 McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NeurIPS 2007