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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32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

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856

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Papers (including subtopics)

SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization CVPR 2025 SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages COLING 2025 Synergistic Weak-Strong Collaboration by Aligning Preferences ACL 2025 Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling ICLR 2025 SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation ICML 2025 SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling ACL 2025 Syntactic Blind Spots: How Misalignment Leads to LLMs’ Mathematical Errors EMNLP 2025 SynthDetoxM: Modern LLMs are Few-Shot Parallel Detoxification Data Annotators NAACL 2025 Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection ICCV 2025 Synthetic Audio Helps for Cognitive State Tasks NAACL 2025 Synthetic continued pretraining ICLR 2025 Synthetic Data is an Elegant GIFT for Continual Vision-Language Models CVPR 2025 Synthetic Prior for Few-Shot Drivable Head Avatar Inversion CVPR 2025 TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios ACL 2025 TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems ICML 2025 Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness AAAI 2025 TADFormer: Task-Adaptive Dynamic TransFormer for Efficient Multi-Task Learning CVPR 2025 Tag-Evol: Achieving Efficient Instruction Evolving via Tag Injection ACL 2025 Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation ACL 2025 TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition CVPR 2025 Tartan IMU: A Light Foundation Model for Inertial Positioning in Robotics CVPR 2025 TartanTritons at SemEval-2025 Task 10: Multilingual Hierarchical Entity Classification and Narrative Reasoning using Instruct-Tuned LLMs SemEval 2025 Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning ICCV 2025 Task Descriptors Help Transformers Learn Linear Models In-Context ICLR 2025 Task Generalization with Autoregressive Compositional Structure: Can Learning from D Tasks Generalize to D^T Tasks? ICML 2025