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 Video Forensics by Audio-Visual Anomaly Detection CVPR 2023 Self-Supervised Visual Acoustic Matching NeurIPS 2023 Semantic-Aware Implicit Template Learning via Part Deformation Consistency ICCV 2023 Semantic-Aware Superpixel for Weakly Supervised Semantic Segmentation AAAI 2023 Semantic-conditioned Dual Adaptation for Cross-domain Query-based Visual Segmentation ACL 2023 Semantic Decomposition of Question and SQL for Text-to-SQL Parsing EMNLP 2023 Semantic-Enhanced Image Clustering AAAI 2023 Semantic Frame Induction with Deep Metric Learning EACL 2023 Semantic Human Parsing via Scalable Semantic Transfer Over Multiple Label Domains CVPR 2023 Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation AAAI 2023 Semantic Scene Completion With Cleaner Self CVPR 2023 Semantic Segmentation in Aerial Imagery Using Multi-Level Contrastive Learning With Local Consistency WACV 2023 Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR Interspeech 2023 Semantic VAD: Low-Latency Voice Activity Detection for Speech Interaction Interspeech 2023 SememeASR: Boosting Performance of End-to-End Speech Recognition against Domain and Long-Tailed Data Shift with Sememe Semantic Knowledge Interspeech 2023 Semi-attention Partition for Occluded Person Re-identification AAAI 2023 Semi-DETR: Semi-Supervised Object Detection With Detection Transformers CVPR 2023 Semi-Structured Object Sequence Encoders EMNLP 2023 Semi-supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint AAAI 2023 Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks AAAI 2023 Semi-Supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination CVPR 2023 Semi-Supervised Learning Made Simple With Self-Supervised Clustering CVPR 2023 Semi-Supervised Learning via Weight-Aware Distillation under Class Distribution Mismatch ICCV 2023 Semi-supervised Learning with Support Isolation by Small-Paced Self-Training AAAI 2023 Semi-Supervised Parametric Real-World Image Harmonization CVPR 2023