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)

Evaluating multi-class learning strategies in a generative hierarchical framework for object detection NeurIPS 2009 Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition NeurIPS 2009 Learning in Markov Random Fields using Tempered Transitions NeurIPS 2009 Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition NeurIPS 2009 Learning transport operators for image manifolds NeurIPS 2009 Measuring Invariances in Deep Networks NeurIPS 2009 Nonlinear Learning using Local Coordinate Coding NeurIPS 2009 Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NeurIPS 2009 On Invariance in Hierarchical Models NeurIPS 2009 Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification NeurIPS 2009 Polynomial Semantic Indexing NeurIPS 2009 Slow, Decorrelated Features for Pretraining Complex Cell-like Networks NeurIPS 2009 Sparse Metric Learning via Smooth Optimization NeurIPS 2009 STDP enables spiking neurons to detect hidden causes of their inputs NeurIPS 2009 Structured output regression for detection with partial truncation NeurIPS 2009 The 'tree-dependent components' of natural scenes are edge filters NeurIPS 2009 Unsupervised Detection of Regions of Interest Using Iterative Link Analysis NeurIPS 2009 Zero-shot Learning with Semantic Output Codes NeurIPS 2009 Adaptive Martingale Boosting NeurIPS 2008 A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context NeurIPS 2008 Bio-inspired Real Time Sensory Map Realignment in a Robotic Barn Owl NeurIPS 2008 Deep Learning with Kernel Regularization for Visual Recognition NeurIPS 2008 Differentiable Sparse Coding NeurIPS 2008 Dimensionality Reduction for Data in Multiple Feature Representations NeurIPS 2008 DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification NeurIPS 2008