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

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'25

Papers (including subtopics)

Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network AAAI 2023 Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation CVPR 2023 Self-Decoupling and Ensemble Distillation for Efficient Segmentation AAAI 2023 Self-Distillation for Further Pre-training of Transformers ICLR 2023 Self-Distillation into Self-Attention Heads for Improving Transformer-based End-to-End Neural Speaker Diarization Interspeech 2023 Self-distilled Transitive Instance Weighting for Denoised Distantly Supervised Relation Extraction EMNLP 2023 Self-Emphasizing Network for Continuous Sign Language Recognition AAAI 2023 Self-Ensemble of N-best Generation Hypotheses by Lexically Constrained Decoding EMNLP 2023 Self-Evaluation Guided Beam Search for Reasoning NeurIPS 2023 Self-Evolution Learning for Discriminative Language Model Pretraining ACL 2023 Self-Feedback DETR for Temporal Action Detection ICCV 2023 Self-Guided Diffusion Models CVPR 2023 Self-Improvement of Non-autoregressive Model via Sequence-Level Distillation EMNLP 2023 Self-Influence Guided Data Reweighting for Language Model Pre-training EMNLP 2023 Self-Knowledge Guided Retrieval Augmentation for Large Language Models EMNLP 2023 SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition CVPR 2023 SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank EMNLP 2023 Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information AAAI 2023 Self-regulating Prompts: Foundational Model Adaptation without Forgetting ICCV 2023 Self-Supervised 3D Scene Flow Estimation Guided by Superpoints CVPR 2023 Self-Supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences AAAI 2023 Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity AAAI 2023 Self-Supervised AutoFlow CVPR 2023 Self-Supervised Bidirectional Learning for Graph Matching AAAI 2023 Self-Supervised Character-to-Character Distillation for Text Recognition ICCV 2023