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)

Multiple timescales and uncertainty in motor adaptation NeurIPS 2006 Multi-Task Feature Learning NeurIPS 2006 Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype NeurIPS 2006 Natural Actor-Critic for Road Traffic Optimisation NeurIPS 2006 Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints NeurIPS 2006 Noisy-OR Component Analysis and its Application to Link Analysis JMLR 2006 Nonlinear physically-based models for decoding motor-cortical population activity NeurIPS 2006 No-regret Algorithms for Online Convex Programs NeurIPS 2006 Online Classification for Complex Problems Using Simultaneous Projections NeurIPS 2006 Online Clustering of Moving Hyperplanes NeurIPS 2006 Online Passive-Aggressive Algorithms JMLR 2006 On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts NeurIPS 2006 On Transductive Regression NeurIPS 2006 Optimal Single-Class Classification Strategies NeurIPS 2006 Part-based Probabilistic Point Matching using Equivalence Constraints NeurIPS 2006 PG-means: learning the number of clusters in data NeurIPS 2006 Prediction on a Graph with a Perceptron NeurIPS 2006 Quantile Regression Forests JMLR 2006 Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension NeurIPS 2006 Recursive ICA NeurIPS 2006 Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach NeurIPS 2006 Relational Learning with Gaussian Processes NeurIPS 2006 Robotic Grasping of Novel Objects NeurIPS 2006 Sample Complexity of Policy Search with Known Dynamics NeurIPS 2006 Scalable Discriminative Learning for Natural Language Parsing and Translation NeurIPS 2006