Transfer Learning

LEAD: Exploring Logit Space Evolution for Model Selection CVPR 2024 Learnability Matters: Active Learning for Video Captioning NeurIPS 2024 Learn and Don't Forget: Adding a New Language to ASR Foundation Models Interspeech 2024 Learning-Augmented Algorithms with Explicit Predictors NeurIPS 2024 Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning CVPR 2024 Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection AAAI 2024 Learning Conditional Invariances through Non-Commutativity ICLR 2024 Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning Interspeech 2024 Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL EMNLP 2024 Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features ICML 2024 Learning from Natural Language Explanations for Generalizable Entity Matching EMNLP 2024 Learning from Offline Foundation Features with Tensor Augmentations NeurIPS 2024 Learning Generalizable and Composable Abstractions for Transfer in Reinforcement Learning AAAI 2024 Learning Grounded Action Abstractions from Language ICLR 2024 Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models AAAI 2024 Learning Interactive Real-World Simulators ICLR 2024 Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds COLT 2024 Learning invariant representations of time-homogeneous stochastic dynamical systems ICLR 2024 Learning Pronunciation from Other Accents via Pronunciation Knowledge Transfer Interspeech 2024 Learning Representations for Robust Human-Robot Interaction AAAI 2024 Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning ICLR 2024 Learning soft constrained MPC value functions: Efficient MPC design and implementation providing stability and safety guarantees L4DC 2024 Learning Strategies for Robust Argument Mining: An Analysis of Variations in Language and Domain COLING 2024 Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection AAAI 2024 Learning to Adapt Large Language Models to One-Shot In-Context Intent Classification on Unseen Domains EMNLP 2024