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)

YOLOV: Making Still Image Object Detectors Great at Video Object Detection AAAI 2023 You Can Ground Earlier Than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos CVPR 2023 You Do Not Need Additional Priors or Regularizers in Retinex-Based Low-Light Image Enhancement CVPR 2023 Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding ICLR 2023 Your representations are in the network: composable and parallel adaptation for large scale models NeurIPS 2023 ZARA: Improving Few-Shot Self-Rationalization for Small Language Models EMNLP 2023 ZBS: Zero-Shot Background Subtraction via Instance-Level Background Modeling and Foreground Selection CVPR 2023 Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization ACL 2023 Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks ACL 2023 Zero-Shot Anomaly Detection via Batch Normalization NeurIPS 2023 Zero-Shot Automatic Pronunciation Assessment Interspeech 2023 Zero-shot Cross-lingual Transfer With Learned Projections Using Unlabeled Target-Language Data ACL 2023 Zero-Shot Data Maps. Efficient Dataset Cartography Without Model Training EMNLP 2023 Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style CVPR 2023 Zero-Shot Face-Based Voice Conversion: Bottleneck-Free Speech Disentanglement in the Real-World Scenario AAAI 2023 Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning CVPR 2023 Zero-Shot Model Diagnosis CVPR 2023 Zero-Shot Noise2Noise: Efficient Image Denoising Without Any Data CVPR 2023 Zero-Shot Object Counting CVPR 2023 Zero-Shot Referring Image Segmentation With Global-Local Context Features CVPR 2023 Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning AAAI 2023 Zero-Shot Slot Filling with Slot-Prefix Prompting and Attention Relationship Descriptor AAAI 2023 Zero-Shot Text Classification via Self-Supervised Tuning ACL 2023 Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation CVPR 2023 Zero-shot Topical Text Classification with LLMs - an Experimental Study EMNLP 2023