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

24

14

20

29

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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)

In-Context Adaptation to Concept Drift for Learned Database Operations ICML 2025 In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation NAACL 2025 In-Context Iterative Policy Improvement for Dynamic Manipulation CoRL 2025 In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties EMNLP 2025 In-context learning capabilities of Large Language Models to detect suicide risk among adolescents from speech transcripts Interspeech 2025 In-Context Learning with Long-Context Models: An In-Depth Exploration NAACL 2025 In-Context Meta LoRA Generation IJCAI 2025 In-Context Policy Adaptation via Cross-Domain Skill Diffusion AAAI 2025 In-context Prompt-augmented Micro-video Popularity Prediction AAAI 2025 Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition AAAI 2025 Incremental Few-Shot Semantic Segmentation via Multi-Level Switchable Visual Prompts ICCV 2025 In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting AAAI 2025 INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languages NAACL 2025 Indirect Alignment and Relationship Preservation for Domain Generalization IJCAI 2025 In-Domain African Languages Translation Using LLMs and Multi-armed Bandits ACL 2025 Inductive Link Prediction in N-ary Knowledge Graphs COLING 2025 Inductive Reasoning on Few-Shot Knowledge Graphs with Task-Aware Language Models EMNLP 2025 INFER: A Neural-symbolic Model For Extrapolation Reasoning on Temporal Knowledge Graph ICLR 2025 Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning CVPR 2025 InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective ICML 2025 Injecting Frame Semantics into Large Language Models via Prompt-Based Fine-Tuning EMNLP 2025 InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment CVPR 2025 INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning ICLR 2025 Instability in Downstream Task Performance During LLM Pretraining EMNLP 2025 Instant Adversarial Purification with Adversarial Consistency Distillation CVPR 2025