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

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12

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32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

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Papers (including subtopics)

Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants AAAI 2026 H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation AAAI 2026 HSKBenchmark: Modeling and Benchmarking Chinese Second Language Acquisition in Large Language Models Through Curriculum Tuning AAAI 2026 Human-Corrected Labels Learning: Enhancing Labels Quality via Human Correction of VLMs Discrepancies AAAI 2026 Human-in-the-Loop Bandwidth Estimation for Quality of Experience Optimization in Real-Time Video Communication AAAI 2026 Hybrid Agents for Image Restoration CVPR 2026 Hybrid Neural-LLM Pipeline for Morphological Glossing in Endangered Language Documentation: A Case Study of Jungar Tuvan EACL 2026 HyCal: A Training-Free Prototype Calibration Method for Cross-Discipline Few-Shot Class-Incremental Learning CVPR 2026 HyCoRA: Hyper-Contrastive Role-Adaptive Learning for Role-Playing AAAI 2026 Hyperbolic Prototype Learning with Uncertainty-Aware Consistency for Continual Test-Time Segmentation CVPR 2026 I2CD: An Invertible Causal Framework for Compositional Zero-Shot Learning via Disentangle-Compose-Disentangle AAAI 2026 I2E: Real-Time Image-to-Event Conversion for High-Performance Spiking Neural Networks AAAI 2026 ICL-Router: In-Context Learned Model Representations for LLM Routing AAAI 2026 ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation AAAI 2026 If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs ACL 2026 ImageBindDC: Compressing Multi-modal Data with ImageBind-based Condensation AAAI 2026 Imbalanced Gradients in RL Post-Training of Multi-Task LLMs EACL 2026 Imprint of the Forgotten: Stealthy Membership Inference in Unlearned Graph Neural Networks AAAI 2026 Improving Animal Pose Estimation through Species Similarity Measures and Rigorous Label Definition WACV 2026 Improving Dialect Robustness in Large Language Models via LoRA and Mixture-of-Experts EACL 2026 Improving Generalization in Offline Meta-Reinforcement Learning via Cross-task Contexts AAAI 2026 Improving Language Identification for Code-Switched Speech: The Pivotal Role of Accented English EACL 2026 Improving on State-of-the-Art Models for Sentiment Analysis on Saudi-English Code-Switching Text EACL 2026 Incentivizing Strong Reasoning from Weak Supervision EACL 2026 Incomplete Multi-View Unsupervised Federated Feature Selection via Cooperative Particle Swarm Optimization and Tensor-Aligned Learning AAAI 2026