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 From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm NeurIPS 2014 Learning Generative Models with Visual Attention NeurIPS 2014 Learning Mid-level Filters for Person Re-identification CVPR 2014 Learning Mixtures of Discrete Product Distributions using Spectral Decompositions COLT 2014 Learning Optimal Seeds for Diffusion-based Salient Object Detection CVPR 2014 Learning Ordered Representations with Nested Dropout ICML 2014 Learning to Discover Efficient Mathematical Identities NeurIPS 2014 Learning with Pseudo-Ensembles NeurIPS 2014 LSDA: Large Scale Detection through Adaptation NeurIPS 2014 Marginalized Denoising Auto-encoders for Nonlinear Representations ICML 2014 Message Passing Inference for Large Scale Graphical Models with High Order Potentials NeurIPS 2014 Modeling Deep Temporal Dependencies with Recurrent Grammar Cells"" NeurIPS 2014 Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks NeurIPS 2014 Multi-source Deep Learning for Human Pose Estimation CVPR 2014 Multitask learning meets tensor factorization: task imputation via convex optimization NeurIPS 2014 Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations NeurIPS 2014 Neural Decision Forests for Semantic Image Labelling CVPR 2014 Neural Word Embedding as Implicit Matrix Factorization NeurIPS 2014 On Multiplicative Multitask Feature Learning NeurIPS 2014 Optimizing F-Measures by Cost-Sensitive Classification NeurIPS 2014 Patch to the Future: Unsupervised Visual Prediction CVPR 2014 Predicting Matchability CVPR 2014 Preserving Modes and Messages via Diverse Particle Selection ICML 2014 Projective dictionary pair learning for pattern classification NeurIPS 2014 Provable Bounds for Learning Some Deep Representations ICML 2014