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)

Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States NeurIPS 2023 Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution CVPR 2023 Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning ACL 2023 Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms AAAI 2023 Learning the Character Inventories of Undeciphered Scripts Using Unsupervised Deep Clustering ACL 2023 Learning the Efficient Frontier NeurIPS 2023 Learning Time-Invariant Representations for Individual Neurons from Population Dynamics NeurIPS 2023 Learning to Compose Soft Prompts for Compositional Zero-Shot Learning ICLR 2023 Learning To Detect and Segment for Open Vocabulary Object Detection CVPR 2023 Learning to Discover Skills through Guidance NeurIPS 2023 Learning To Dub Movies via Hierarchical Prosody Models CVPR 2023 Learning To Exploit Temporal Structure for Biomedical Vision-Language Processing CVPR 2023 Learning to Follow Object-Centric Image Editing Instructions Faithfully EMNLP 2023 Learning To Generate Text-Grounded Mask for Open-World Semantic Segmentation From Only Image-Text Pairs CVPR 2023 Learning to Imagine: Distillation-Based Interactive Context Exploitation for Dialogue State Tracking AAAI 2023 Learning to Induce Causal Structure ICLR 2023 Learning to Influence Human Behavior with Offline Reinforcement Learning NeurIPS 2023 Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? ACL 2023 Learning to Learn Better for Video Object Segmentation AAAI 2023 Learning to Learn from APIs: Black-Box Data-Free Meta-Learning ICML 2023 Learning to Modulate pre-trained Models in RL NeurIPS 2023 Learning To Name Classes for Vision and Language Models CVPR 2023 Learning to Play General-Sum Games against Multiple Boundedly Rational Agents AAAI 2023 Learning To Predict Scene-Level Implicit 3D From Posed RGBD Data CVPR 2023 Learning to Rank Generation with Pairwise Partial Rewards EMNLP 2023