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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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)

Training Energy-Based Models for Time-Series Imputation JMLR 2013 Transfer Learning in a Transductive Setting NeurIPS 2013 Transfer Sparse Coding for Robust Image Representation CVPR 2013 Transportability from Multiple Environments with Limited Experiments NeurIPS 2013 Two-Target Algorithms for Infinite-Armed Bandits with Bernoulli Rewards NeurIPS 2013 Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias ICCV 2013 Unconfused Ultraconservative Multiclass Algorithms ACML 2013 Understanding Dropout NeurIPS 2013 Unnatural L0 Sparse Representation for Natural Image Deblurring CVPR 2013 Unsupervised Domain Adaptation by Domain Invariant Projection ICCV 2013 Unsupervised Intrinsic Calibration of Depth Sensors via SLAM RSS 2013 Unsupervised Joint Object Discovery and Segmentation in Internet Images CVPR 2013 Unsupervised Salience Learning for Person Re-identification CVPR 2013 Unsupervised Spectral Learning of Finite State Transducers NeurIPS 2013 Unsupervised Structure Learning of Stochastic And-Or Grammars NeurIPS 2013 Unsupervised Visual Domain Adaptation Using Subspace Alignment ICCV 2013 Using multiple samples to learn mixture models NeurIPS 2013 Variance Reduction for Stochastic Gradient Optimization NeurIPS 2013 Video Event Understanding Using Natural Language Descriptions ICCV 2013 Video Segmentation by Tracking Many Figure-Ground Segments ICCV 2013 Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies NeurIPS 2013 Visual Reranking through Weakly Supervised Multi-graph Learning ICCV 2013 Watching Unlabeled Video Helps Learn New Human Actions from Very Few Labeled Snapshots CVPR 2013 Wavelets on Graphs via Deep Learning NeurIPS 2013 Weakly-Supervised Dual Clustering for Image Semantic Segmentation CVPR 2013