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)

Domain Adaptation with Multiple Sources NeurIPS 2008 Hebbian Learning of Bayes Optimal Decisions NeurIPS 2008 Implicit Mixtures of Restricted Boltzmann Machines NeurIPS 2008 Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming JMLR 2008 Learning Transformational Invariants from Natural Movies NeurIPS 2008 Localized Sliced Inverse Regression NeurIPS 2008 Natural Image Denoising with Convolutional Networks NeurIPS 2008 Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks NeurIPS 2008 On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing NeurIPS 2008 On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor NeurIPS 2008 On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost NeurIPS 2008 Privacy-preserving logistic regression NeurIPS 2008 Regularized Policy Iteration NeurIPS 2008 Robust Near-Isometric Matching via Structured Learning of Graphical Models NeurIPS 2008 Scalable Algorithms for String Kernels with Inexact Matching NeurIPS 2008 Self-organization using synaptic plasticity NeurIPS 2008 Sparse Convolved Gaussian Processes for Multi-output Regression NeurIPS 2008 Spectral Hashing NeurIPS 2008 Supervised Dictionary Learning NeurIPS 2008 The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction NeurIPS 2008 Translated Learning: Transfer Learning across Different Feature Spaces NeurIPS 2008 Using matrices to model symbolic relationship NeurIPS 2008 A Risk Minimization Principle for a Class of Parzen Estimators NeurIPS 2007 Boosting Algorithms for Maximizing the Soft Margin NeurIPS 2007 Boosting the Area under the ROC Curve NeurIPS 2007