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conftrace_

knowledge transfer

693 papers

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KT

Co-occurring keywords · papers mentioning both

transfer learning (152) knowledge distillation (85) domain adaptation (66) large language model (52) model compression (50) continual learning (47) zero-shot learning (47) catastrophic forgetting (46) few-shot learning (42) multi-task learning (40)

Papers

MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction EMNLP 2024 More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms ICML 2024 Multi-Task Learning with Adapters for Plausibility Prediction: Bridging the Gap or Falling into the Trenches? NAACL 2024 NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation CVPR 2024 Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation EMNLP 2024 On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning AAAI 2024 Open-Set Graph Domain Adaptation via Separate Domain Alignment AAAI 2024 PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning ACL 2024 PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator NeurIPS 2024 Personalized Federated Learning for Cross-City Traffic Prediction IJCAI 2024 Position Paper: Data-Centric AI in the Age of Large Language Models EMNLP 2024 Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation AAAI 2024 Probing the Depths of Language Models’ Contact-Center Knowledge for Quality Assurance EMNLP 2024 Rehearsal-Free Modular and Compositional Continual Learning for Language Models NAACL 2024 SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models ACL 2024 SEED: Semantic Knowledge Transfer for Language Model Adaptation to Materials Science EMNLP 2024 Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective ICLR 2024 Self-Composing Policies for Scalable Continual Reinforcement Learning ICML 2024 Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data NeurIPS 2024 Sequential LLM Framework for Fashion Recommendation EMNLP 2024 SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning ICML 2024 STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation AAAI 2024 Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing Pedagogy ACL 2024 Subgraph Pooling: Tackling Negative Transfer on Graphs IJCAI 2024 TartuNLP at EvaLatin 2024: Emotion Polarity Detection COLING 2024