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 3D Shape Fidelity Metric from Real-world Distortions CVPR 2026 Learning and Aligning Click-Aware Shape Prior for Interactive Amodal Instance Segmentation CVPR 2026 Learning a Spatial Partitioning and its Causal Relations from Temporal Data CLeaR 2026 Learning a Unified Latent Action Space from Videos with Action-centric Cycle Consistency CVPR 2026 Learning Cross-View Object Correspondence via Cycle-Consistent Mask Prediction CVPR 2026 Learning Diffeomorphism for Medical Image Registration with Time-Embedded Architectures Using Semigroup Regularization CVPR 2026 Learning Diverse Responses with Prefix-Conditioned Supervised Fine-Tuning ACL 2026 Learning Eigenstructures of Unstructured Data Manifolds CVPR 2026 Learning Faster with Better Tokens: Parameter-Efficient Vocabulary Adaptation for Specialized Text Summarization ACL 2026 Learning Forgery-Aware Lip Representations Without Forgery Priors CVPR 2026 Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories ACL 2026 Learning from Evolving Training Dynamics: An Entropy-Maximizing Data Curation Strategy for LLM Supervised Post-Training ACL 2026 Learning from Itself: Mining Internal Knowledge from Vision Language Models for Continual Learning CVPR 2026 Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization ACL 2026 Learning from Near-Misses: Error-Aware Contrastive Few-Shot Learning for NL2Formula ACL 2026 Learning from Noisy Supervision: A Denoising-Debiasing Framework for Weakly Supervised Video Anomaly Detection CVPR 2026 Learning from Oblivion: Predicting Knowledge-Overflowed Weights via Retrodiction of Forgetting CVPR 2026 Learning from Semantic Dictionaries: Discriminative Codebook Contrastive Learning for Unified Visual Representation and Generation CVPR 2026 Learning from Synthetic Data: Limitations of ERM ALT 2026 Learning from Synthetic Data via Provenance-Based Input Gradient Guidance CVPR 2026 Learning Generalizable 3D Medical Image Representations from Mask-Guided Self-Supervision CVPR 2026 Learning Invariant Modality Representation for Robust Multimodal Learning from a Causal Inference Perspective ACL 2026 Learning Latent Concepts for Detecting Out-of-Distribution Objects CVPR 2026 Learning Latent Transmission and Glare Maps for Lens Veiling Glare Removal CVPR 2026 Learning Like Humans: Analogical Concept Learning for Generalized Category Discovery CVPR 2026