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

1

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

'5

'10

'15

'20

'25

Papers (including subtopics)

SOLD: Sub-Optimal Low-rank Decomposition for Efficient Video Segmentation CVPR 2015 Sparse and Low-Rank Tensor Decomposition NeurIPS 2015 Sparse Composite Quantization CVPR 2015 Sparse Local Embeddings for Extreme Multi-label Classification NeurIPS 2015 Sparse PCA via Bipartite Matchings NeurIPS 2015 Sparse Representation Classification With Manifold Constraints Transfer CVPR 2015 Sparse Subspace Clustering with Missing Entries ICML 2015 Spectral Norm Regularization of Orthonormal Representations for Graph Transduction NeurIPS 2015 Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling JMLR 2015 Statistical Model Criticism using Kernel Two Sample Tests NeurIPS 2015 Stochastic Block Transition Models for Dynamic Networks AISTATS 2015 Stochastic Online Greedy Learning with Semi-bandit Feedbacks NeurIPS 2015 Streaming Sparse Principal Component Analysis ICML 2015 Strongly Adaptive Online Learning ICML 2015 Structural Sparse Tracking CVPR 2015 Submodularity in Data Subset Selection and Active Learning ICML 2015 Subsampled Power Iteration: a Unified Algorithm for Block Models and Planted CSP's NeurIPS 2015 Subspace Clustering with Irrelevant Features via Robust Dantzig Selector NeurIPS 2015 Supervised Learning for Dynamical System Learning NeurIPS 2015 Temporal Perception and Prediction in Ego-Centric Video ICCV 2015 The Application of Two-Level Attention Models in Deep Convolutional Neural Network for Fine-Grained Image Classification CVPR 2015 The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation AISTATS 2015 The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels NeurIPS 2015 The Pareto Regret Frontier for Bandits NeurIPS 2015 The Self-Normalized Estimator for Counterfactual Learning NeurIPS 2015