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)

RNN-BLSTM Based Multi-Pitch Estimation Interspeech 2016 Robust Speech Recognition Using Generalized Distillation Framework Interspeech 2016 Saliency Unified: A Deep Architecture for Simultaneous Eye Fixation Prediction and Salient Object Segmentation CVPR 2016 Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes NeurIPS 2016 Scene Recognition With CNNs: Objects, Scales and Dataset Bias CVPR 2016 ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation CVPR 2016 Seeing Behind the Camera: Identifying the Authorship of a Photograph CVPR 2016 Seeing Through the Human Reporting Bias: Visual Classifiers From Noisy Human-Centric Labels CVPR 2016 Segmental Recurrent Neural Networks for End-to-End Speech Recognition Interspeech 2016 SemiContour: A Semi-Supervised Learning Approach for Contour Detection CVPR 2016 Semi-Supervised Training in Deep Learning Acoustic Model Interspeech 2016 Semi-supervised Word Sense Disambiguation with Neural Models COLING 2016 Sequential Neural Models with Stochastic Layers NeurIPS 2016 Shallow and Deep Convolutional Networks for Saliency Prediction CVPR 2016 Singing Voice Synthesis Based on Deep Neural Networks Interspeech 2016 Single-Channel Multi-Speaker Separation Using Deep Clustering Interspeech 2016 Single-Image Crowd Counting via Multi-Column Convolutional Neural Network CVPR 2016 Sketch Me That Shoe CVPR 2016 SketchNet: Sketch Classification With Web Images CVPR 2016 Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video CVPR 2016 SoundNet: Learning Sound Representations from Unlabeled Video NeurIPS 2016 Sparse Coding and Dictionary Learning With Linear Dynamical Systems CVPR 2016 Sparse Coding for Classification via Discrimination Ensemble CVPR 2016 Sparseness Meets Deepness: 3D Human Pose Estimation From Monocular Video CVPR 2016 Sparsifying Neural Network Connections for Face Recognition CVPR 2016