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)

Hierarchical Action Learning for Weakly-Supervised Action Segmentation CVPR 2026 Hierarchical End-to-End Taylor Bounds for Complete Neural Network Verification L4DC 2026 Hierarchical Enhancement of Semantic Priors for Disentangled Text-Driven Motion Generation CVPR 2026 Hierarchically Robust Zero-shot Vision-language Models CVPR 2026 Hierarchical Process Reward Models are Symbolic Vision Learners CVPR 2026 Hier-COS: Making Deep Features Hierarchy-aware via Composition of Orthogonal Subspaces CVPR 2026 HierUQ: Hierarchical Uncertainty Quantification with Adaptive Granularity Reconciliation for Degraded Image Classification CVPR 2026 HiFi-BRep: High-Fidelity Latent Representation for Robust B-Rep Generation CVPR 2026 HiFICL: High-Fidelity In-Context Learning for Multimodal Tasks CVPR 2026 High-dimensional Parameter Transfer With Fused-Regularizer JMLR 2026 High-Quality and Efficient Turbulence Mitigation with Events CVPR 2026 High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization WACV 2026 Hilbert Curve-Based Attention Enabling Topology-Preserving Image Tensor Representation for Semantic Segmentation Network CVPR 2026 HiLoRA: Hierarchical Low-Rank Adaptation for Personalized Federated Learning CVPR 2026 HiPro-CT: A Hierarchical Probabilistic Framework for 3D Medical Vision-Language Alignment MIDL 2026 Hist2Style: Histogram-Guided Stylization with Bilateral Grids CVPR 2026 HiSVD: Principled Low-Rank Approximation of LLMs via Hierarchical Modeling of Information Capacity and Spectral Structure ACL 2026 hllwan at SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis via LLM Feature Fusion and Test-Time Adaptation SemEval 2026 HoneyBee: Data Recipes for Vision-Language Reasoners CVPR 2026 HOPE: Hybrid Optimized Parallel Encoding with Supervised and Unsupervised Semantic Fusion for Depression Symptom Detection ACL 2026 Howard University-AI4PC at SemEval-2026 Task 7: Culturally Aware Multilingual Model Routing Through a Mixture-of-Specialists Framework SemEval 2026 How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality Perspective ACL 2026 How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities ACL 2026 How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients ACL 2026 How Learning Dynamics Drive Adversarially Robust Generalization? UAI 2026