conftrace_

Learning Paradigms

14,967 papers (9 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Transfer Learning (8,172) Few-Shot Learning (2,681) Meta-Learning (1,719) Federated Learning (1,560) Zero-Shot Learning (878) Continual Learning (189) Domain Adaptation (184) Self-Supervised Learning (158) Active Learning (154) Multi-Task Learning (145) Semi-Supervised Learning (86) In-Context Learning (53) Unsupervised Learning (53) Domain Generalization (26) Weakly Supervised Learning (23)

Papers per year

3

2

4

12

24

14

20

29

31

32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

'5

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Papers (including subtopics)

Cross-modal Prompting for Balanced Incomplete Multi-modal Emotion Recognition AAAI 2026 Cross-modal Proxy Evolving for OOD Detection with Vision-Language Models AAAI 2026 Cryptix at SemEval-2026 Task 4: Zero-Shot Bi-Encoder Modeling for Narrative Story Similarity - A Sentence Transformer Approach SemEval 2026 CrystalDiT: Simple Diffusion Transformers for Crystal Generation AAAI 2026 CTPD: Cross Tokenizer Preference Distillation AAAI 2026 CTTA-T: Continual Test-Time Adaptation for Text Understanding via Teacher-Student with a Domain-aware and Generalized Teacher ACL 2026 CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning WACV 2026 DA-DFGAS:Differentiable Federated Graph Neural Architecture Search with Distribution-Aware Attentive Aggregation AAAI 2026 DAPrompt: Dual Alignment Prompt of Structure and Semantics for Few-shot Graph Learning AAAI 2026 DarwinTOD: LLM-Driven Lifelong Self-evolution for Task-oriented Dialog Systems ACL 2026 Data-Centric Meta-Learning for Robust Few-Shot Generalization CVPR 2026 Data Heterogeneity and Forgotten Labels in Split Federated Learning AAAI 2026 DAWN: Distributed LLM Multi-Agent Workflow Synthesis AAAI 2026 DCRNet: Delayed Conversion Modeling Based Personalized Flight Itinerary Ranking Network AAAI 2026 DDSF: Robust Few-Shot Learning via Disentangled Subspaces with Determinantal Point Process CVPR 2026 De-biased Natural Language Egocentric Task Verification via Prototypical Evidence Learning AAAI 2026 Decentralized Online Convex Optimization with Unknown Feedback Delays AAAI 2026 Decoupled and Reusable Adaptation for Efficient Cross-Modal Transfer CVPR 2026 Decouple Your Discovery and Memory in Continual Generalized Category Discovery CVPR 2026 Decoupling Generalization and Adaptation in Meta-Learning for Large Language Models ACL 2026 Decoupling Shape and Texture in SAM-2 via Controlled Texture Replacement WACV 2026 Decoupling Shared and Personalized Knowledge: A Dual-Branch Federated Learning Framework for Multi-Domain with Non-IID Data AAAI 2026 Decoupling Stability and Plasticity for Multi-Modal Test-Time Adaptation CVPR 2026 Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning AAAI 2026 DeepSenseMoE: Harnessing Power of Time Series Foundation Models for Few-Shot Human Activity Recognition AAAI 2026