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)

Improving Human Action Recognition by Non-Action Classification CVPR 2016 Improving the Robustness of Deep Neural Networks via Stability Training CVPR 2016 In Defense of Sparse Tracking: Circulant Sparse Tracker CVPR 2016 Inference Networks for Sequential Monte Carlo in Graphical Models ICML 2016 Instance-Aware Semantic Segmentation via Multi-Task Network Cascades CVPR 2016 Instance-Level Video Segmentation From Object Tracks CVPR 2016 Integrated perception with recurrent multi-task neural networks NeurIPS 2016 Inverting Visual Representations With Convolutional Networks CVPR 2016 Investigation of Semi-Supervised Acoustic Model Training Based on the Committee of Heterogeneous Neural Networks Interspeech 2016 Iterative Instance Segmentation CVPR 2016 Joint Optimization of Denoising Autoencoder and DNN Acoustic Model Based on Multi-Target Learning for Noisy Speech Recognition Interspeech 2016 Joint Training of Cascaded CNN for Face Detection CVPR 2016 Joint Unsupervised Deformable Spatio-Temporal Alignment of Sequences CVPR 2016 Joint Unsupervised Learning of Deep Representations and Image Clusters CVPR 2016 Just Look at the Image: Viewpoint-Specific Surface Normal Prediction for Improved Multi-View Reconstruction CVPR 2016 Keystroke dynamics as signal for shallow syntactic parsing COLING 2016 Knowledge-Driven Event Embedding for Stock Prediction COLING 2016 Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning JMLR 2016 Latent Embeddings for Zero-Shot Classification CVPR 2016 Learnable Visual Markers NeurIPS 2016 Learning Aligned Cross-Modal Representations From Weakly Aligned Data CVPR 2016 Learning a Metric Embedding for Face Recognition using the Multibatch Method NeurIPS 2016 Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling NeurIPS 2016 Learning Attributes Equals Multi-Source Domain Generalization CVPR 2016 Learning Compact Binary Descriptors With Unsupervised Deep Neural Networks CVPR 2016