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)

Learning curves for multi-task Gaussian process regression NeurIPS 2012 Learning Image Descriptors with the Boosting-Trick NeurIPS 2012 Learning Invariant Representations of Molecules for Atomization Energy Prediction NeurIPS 2012 Learning optimal spike-based representations NeurIPS 2012 Learning to Align from Scratch NeurIPS 2012 Learning with Recursive Perceptual Representations NeurIPS 2012 Local Supervised Learning through Space Partitioning NeurIPS 2012 Max-Margin Structured Output Regression for Spatio-Temporal Action Localization NeurIPS 2012 Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL NeurIPS 2012 Multimodal Learning with Deep Boltzmann Machines NeurIPS 2012 Multiple Choice Learning: Learning to Produce Multiple Structured Outputs NeurIPS 2012 Multiple Operator-valued Kernel Learning NeurIPS 2012 Multiple Texture Boltzmann Machines AISTATS 2012 Online L1-Dictionary Learning with Application to Novel Document Detection NeurIPS 2012 On Nonparametric Guidance for Learning Autoencoder Representations AISTATS 2012 Parametric Local Metric Learning for Nearest Neighbor Classification NeurIPS 2012 Part & Clamp: Efficient Structured Output Learning AISTATS 2012 Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task NeurIPS 2012 Predicting Action Content On-Line and in Real Time before Action Onset – an Intracranial Human Study NeurIPS 2012 Projection Retrieval for Classification NeurIPS 2012 Proper losses for learning from partial labels NeurIPS 2012 Semantic Kernel Forests from Multiple Taxonomies NeurIPS 2012 Semi-Supervised Domain Adaptation with Non-Parametric Copulas NeurIPS 2012 Shifting Weights: Adapting Object Detectors from Image to Video NeurIPS 2012 Spectral Learning of General Weighted Automata via Constrained Matrix Completion NeurIPS 2012