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)

Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces AAAI 2023 Self-supervised Example Difficulty Balancing for Local Descriptor Learning ACML 2023 Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clustering Interspeech 2023 Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion CVPR 2023 Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering AAAI 2023 Self-supervised Graph Neural Networks via Low-Rank Decomposition NeurIPS 2023 Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior AAAI 2023 Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss CVPR 2023 Self-Supervised Implicit Glyph Attention for Text Recognition CVPR 2023 Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation AAAI 2023 Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera AAAI 2023 Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis AAAI 2023 Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions AAAI 2023 Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching CVPR 2023 Self-Supervised Learning From Images With a Joint-Embedding Predictive Architecture CVPR 2023 Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells NeurIPS 2023 Self-supervised learning of Split Invariant Equivariant representations ICML 2023 Self-Supervised Learning with Lie Symmetries for Partial Differential Equations NeurIPS 2023 Self-Supervised Motion Magnification by Backpropagating Through Optical Flow NeurIPS 2023 Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring CVPR 2023 Self-supervised Object-Centric Learning for Videos NeurIPS 2023 Self-supervised Pre-training for Mirror Detection ICCV 2023 Self-Supervised Pre-Training With Masked Shape Prediction for 3D Scene Understanding CVPR 2023 Self-Supervised Primal-Dual Learning for Constrained Optimization AAAI 2023 Self-Supervised Super-Plane for Neural 3D Reconstruction CVPR 2023