Adaptation Concern

January 20, 2024

PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation
Nadav Benedek, Lior Wolf
Parameter Efficient Fine Tuning Adaptation Concern Edge Pruning Large Pre Trained Language Model SuperGLUE Benchmark

January 19, 2024

Stochastic Dynamic Power Dispatch with High Generalization and Few-Shot Adaption via Contextual Meta Graph Reinforcement Learning
Bairong Deng, Tao Yu, Zhenning Pan, Xuehan Zhang, Yufeng Wu, Qiaoyi Ding
Strong Generalization Adaptation Concern Contextual Markov Decision Process Power Dispatch
Investigating Training Strategies and Model Robustness of Low-Rank Adaptation for Language Modeling in Speech Recognition
Yu Yu, Chao-Han Huck Yang, Tuan Dinh, Sungho Ryu, Jari Kolehmainen, Roger Ren, Denis Filimonov, Prashanth G. Shivakumar, Ankur Gandhe, Ariya Rastow, Jia Xu, Ivan Bulyko, Andreas Stolcke
Language Model Speech Recognition Adaptation Concern Low Rank Adaptation Model Robustness Training Strategy

January 9, 2024

LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training
Khoi M. Le, Trinh Pham, Tho Quan, Anh Tuan Luu
Adversarial Training Adaptation Concern Parallel Corpus Monolingual Data Zero Shot Translation Parallel English Translation Dataset

December 29, 2023

Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning
Xiao-Yang Liu, Rongyi Zhu, Daochen Zha, Jiechao Gao, Shan Zhong, Matt White, Meikang Qiu
Large Language Model Adaptation Concern Model Training LLM Fine Tuning Privacy Constraint Run LoRA Run

December 20, 2023

A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
Julio Silva-Rodríguez, Sina Hajimiri, Ismail Ben Ayed, Jose Dolz
Zero Shot Large Corpus Large Vision Language Model Adaptation Concern Glance Annotation Efficient Transfer Learning Optimal Hyperparameters

December 9, 2023

Batched Low-Rank Adaptation of Foundation Models
Yeming Wen, Swarat Chaudhuri
Foundation Model Adaptation Concern Low Rank Adaptation Multilingual Automatic Speech Recognition

December 7, 2023

On the adaptation of in-context learners for system identification
Dario Piga, Filippo Pura, Marco Forgione
Meta Learning Adaptation Concern System Identification Model Adaptation Meta Model Context Learner

December 4, 2023

Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation
Joshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen, Nico M. Schmidt, Tim Fingscheidt
Domain Adaptation Strong Generalization Adaptation Concern Generalization Performance Domain Name Domain Generalized Domain Diffusion Generalization Technique

November 30, 2023

November 20, 2023

ADAPTER-RL: Adaptation of Any Agent using Reinforcement Learning
Yizhao Jin, Greg Slabaugh, Simon Lucas
Reinforcement Learning Deep Reinforcement Learning Agent Smith Adaptation Concern Real Time Strategy

November 14, 2023

November 7, 2023

Analyzing Film Adaptation through Narrative Alignment
Tanzir Pial, Shahreen Salim, Charuta Pethe, Allen Kim, Steven Skiena
Adaptation Concern Text Similarity Movie Understanding Narrative Alignment

November 2, 2023

REAL: Resilience and Adaptation using Large Language Models on Autonomous Aerial Robots
Andrea Tagliabue, Kota Kondo, Tong Zhao, Mason Peterson, Claudius T. Tewari, Jonathan P. How
Natural Language Language Understanding Adaptation Concern Long Term Autonomous Robot Tiny Refinement Elicit Resilience Autonomous Mobile Robot Redundancy Classifier

October 26, 2023

The Expressive Power of Low-Rank Adaptation
Yuchen Zeng, Kangwook Lee
Large Language Model Pre Trained Model Parameter Efficient Fine Tuning Adaptation Concern Expressive Power

October 19, 2023

From Propeller Damage Estimation and Adaptation to Fault Tolerant Control: Enhancing Quadrotor Resilience
Jeffrey Mao, Jennifer Yeom, Suraj Nair, Giuseppe Loianno
Adaptation Concern Aerial Robot Fault Tolerant Control Propeller Based Robust Flight

October 18, 2023

Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan O Arik, Tomas Pfister, Somesh Jha
Large Language Model Language Understanding Adaptation Concern Self Feedback Selective Prediction

October 15, 2023

Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation
Chengwei Qin, Chen Chen, Shafiq Joty
Continual LEArning Adaptation Concern Generation Task Dynamic ModulE Sequence Generation Learning Paradigm Task Correlation

Papers

PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation

Stochastic Dynamic Power Dispatch with High Generalization and Few-Shot Adaption via Contextual Meta Graph Reinforcement Learning

Investigating Training Strategies and Model Robustness of Low-Rank Adaptation for Language Modeling in Speech Recognition

LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training

Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning

A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models

Batched Low-Rank Adaptation of Foundation Models

On the adaptation of in-context learners for system identification

Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation

How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor

HiPA: Enabling One-Step Text-to-Image Diffusion Models via High-Frequency-Promoting Adaptation

ADAPTER-RL: Adaptation of Any Agent using Reinforcement Learning

Low-Rank Adaptation for Multilingual Summarization: An Empirical Study

SAMIHS: Adaptation of Segment Anything Model for Intracranial Hemorrhage Segmentation

Analyzing Film Adaptation through Narrative Alignment

REAL: Resilience and Adaptation using Large Language Models on Autonomous Aerial Robots

The Expressive Power of Low-Rank Adaptation

From Propeller Damage Estimation and Adaptation to Fault Tolerant Control: Enhancing Quadrotor Resilience

Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs

Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation