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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

4
29
67
1,124
2,486
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Papers (including subtopics)

SimVG: A Simple Framework for Visual Grounding with Decoupled Multi-modal Fusion NeurIPS 2024 Sing it, Narrate it: Quality Musical Lyrics Translation EMNLP 2024 SI-NLI: A Slovene Natural Language Inference Dataset and Its Evaluation COLING 2024 SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation ACL 2024 SJTU System Description for the WMT24 Low-Resource Languages of Spain Task EMNLP 2024 Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning NeurIPS 2024 Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills ICML 2024 SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing AAAI 2024 SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers CVPR 2024 SLPL SHROOM at SemEval2024 Task 06 : A comprehensive study on models ability to detect hallucination SemEval 2024 Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models ACL 2024 Small Language Models Are Good Too: An Empirical Study of Zero-Shot Classification COLING 2024 Small Language Models Improve Giants by Rewriting Their Outputs EACL 2024 SmartPlay : A Benchmark for LLMs as Intelligent Agents ICLR 2024 SMART: Submodular Data Mixture Strategy for Instruction Tuning ACL 2024 SMASH at AraFinNLP2024: Benchmarking Arabic BERT Models on the Intent Detection ACL 2024 Smoke and Mirrors in Causal Downstream Tasks NeurIPS 2024 SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation CVPR 2024 SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training ICLR 2024 SoftMCL: Soft Momentum Contrastive Learning for Fine-grained Sentiment-aware Pre-training COLING 2024 SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model NeurIPS 2024 Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability AAAI 2024 Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases NeurIPS 2024 Source-free Domain Adaptation for Aspect-based Sentiment Analysis COLING 2024 Source-Free Unsupervised Domain Adaptation for Question Answering via Prompt-Assisted Self-learning NAACL 2024