conftrace_

Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)

Papers per year

1

22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

'10

'15

'20

'25

Papers (including subtopics)

Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NeurIPS 2012 Tendon-Driven Variable Impedance Control Using Reinforcement Learning RSS 2012 The topographic unsupervised learning of natural sounds in the auditory cortex NeurIPS 2012 Topic-Partitioned Multinetwork Embeddings NeurIPS 2012 Unsupervised SVMs: On the Complexity of the Furthest Hyperplane Problem COLT 2012 Unsupervised Template Learning for Fine-Grained Object Recognition NeurIPS 2012 Volume Regularization for Binary Classification NeurIPS 2012 Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NeurIPS 2012 An Analysis of Single-Layer Networks in Unsupervised Feature Learning AISTATS 2011 A Two-Stage Weighting Framework for Multi-Source Domain Adaptation NeurIPS 2011 Convergent Fitted Value Iteration with Linear Function Approximation NeurIPS 2011 Co-regularized Multi-view Spectral Clustering NeurIPS 2011 Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011 Deep Learning for Efficient Discriminative Parsing AISTATS 2011 Deep Sparse Rectifier Neural Networks AISTATS 2011 Empirical models of spiking in neural populations NeurIPS 2011 Extracting Speaker-Specific Information with a Regularized Siamese Deep Network NeurIPS 2011 Generalized Beta Mixtures of Gaussians NeurIPS 2011 Generalized Lasso based Approximation of Sparse Coding for Visual Recognition NeurIPS 2011 Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms NeurIPS 2011 History distribution matching method for predicting effectiveness of HIV combination therapies NeurIPS 2011 How Do Humans Teach: On Curriculum Learning and Teaching Dimension NeurIPS 2011 ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NeurIPS 2011 Im2Text: Describing Images Using 1 Million Captioned Photographs NeurIPS 2011 Laplacian Support Vector Machines Trained in the Primal JMLR 2011