transfer learning

Knowledge Composition using Task Vectors with Learned Anisotropic Scaling NeurIPS 2024 Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection ACL 2024 Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval COLING 2024 Knowledge Fusion By Evolving Weights of Language Models ACL 2024 Knowledge-Preserving Pluggable Modules for Multilingual Speech Translation Tasks Interspeech 2024 KnowTuning: Knowledge-aware Fine-tuning for Large Language Models EMNLP 2024 KTCN: Enhancing Open-World Object Detection with Knowledge Transfer and Class-Awareness Neutralization IJCAI 2024 KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement ICLR 2024 Label-free Node Classification on Graphs with Large Language Models (LLMs) ICLR 2024 LangBridge: Multilingual Reasoning Without Multilingual Supervision ACL 2024 Language Complexity and Speech Recognition Accuracy: Orthographic Complexity Hurts, Phonological Complexity Doesn’t ACL 2024 Language Model Beats Diffusion - Tokenizer is key to visual generation ICLR 2024 Language Models on a Diet: Cost-Efficient Development of Encoders for Closely-Related Languages via Additional Pretraining COLING 2024 Large Language Models Can Learn Temporal Reasoning ACL 2024 Large Language Models for Time Series: A Survey IJCAI 2024 Large Pre-trained time series models for cross-domain Time series analysis tasks NeurIPS 2024 Large Scale Transfer Learning for Tabular Data via Language Modeling NeurIPS 2024 Latent Functional Maps: a spectral framework for representation alignment NeurIPS 2024 Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models EMNLP 2024 LEAD: Exploring Logit Space Evolution for Model Selection CVPR 2024 Learning and Transferring Sparse Contextual Bigrams with Linear Transformers NeurIPS 2024 Learning Cross-Architecture Instruction Embeddings for Binary Code Analysis in Low-Resource Architectures NAACL 2024 Learning De-Biased Representations for Remote-Sensing Imagery NeurIPS 2024 Learning Diffusion Texture Priors for Image Restoration CVPR 2024 Learning from Offline Foundation Features with Tensor Augmentations NeurIPS 2024