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

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Papers (including subtopics)

Learning Max-Stable Representations that Extrapolate UAI 2026 Learning More from Less: Exploiting Counterfactuals for Data-Efficient Chart Understanding ACL 2026 Learning Multi-Robot Coordination with Invariant Consensus Stabilization L4DC 2026 Learning Personalized Photographic Style from Pairwise User Preferences CVPR 2026 Learning Robust Medical Image Segmentation with Inductive Bias MIDL 2026 Learning Shortcut Models for Efficient Recursive Reasoning ACL 2026 Learning Spatio-temporal Feature Representations for Video-based Gaze Estimation WACV 2026 Learning Structure-Aware Foundational Representation of Rat Testicular Tubules Using Multiple Instance Learning MIDL 2026 Learning to accelerate distributed ADMM using graph neural networks L4DC 2026 Learning to Act Robustly with View-Invariant Latent Actions CVPR 2026 Learning to Control Physically-simulated 3D Characters via Generating and Mimicking 2D Motions CVPR 2026 Learning to Drive is a Free Gift: Large-Scale Label-Free Autonomy Pretraining from Unposed In-The-Wild Videos CVPR 2026 Learning to Generate via Understanding: Understanding-Driven Intrinsic Rewarding for Unified Multimodal Models CVPR 2026 Learning to Identify Out-of-Distribution Objects for 3D LiDAR Anomaly Segmentation CVPR 2026 Learning to Learn Weight Generation via Local Consistency Diffusion CVPR 2026 Learning to Reason with Curriculum I: Provable Benefits of Autocurriculum COLT 2026 Learning to Refuse: Refusal-Aware Reinforcement Fine-Tuning for Hard-Irrelevant Queries in Video Temporal Grounding CVPR 2026 Learning to Think on Hypergraph: HyperCoT for Structure-Guided N-ary Knowledge Graph Completion ACL 2026 Learning Transferable Temporal Primitives for Video Reasoning via Synthetic Videos CVPR 2026 Learning What Helps: Task-Aligned Context Selection for Vision Tasks CVPR 2026 Learning What Matters: Dynamic Dimension Selection and Aggregation for Interpretable Vision-Language Reward Modeling ACL 2026 Learning What Matters: Prioritized Concept Learning via Relative Error-driven Sample Selection CVPR 2026 Learning What to Trust: Bayesian Prior-Guided Optimization for Visual Generation CVPR 2026 Learning Where to Look and How to Judge: Resolution-agnostic Image Quality Assessment with Quality-aware Saliency CVPR 2026 Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models ACL 2026