NeurIPS 2024 Workshop FITML Submissions

A Tensor-based Convolutional Neural Network for Small Dataset Classification
Zhenhua Chen, David J. Crandall
- Published: 10 Oct 2024, Last Modified: 30 Oct 2024
- FITML 2024 Poster
- Readers: Everyone
PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences
Daiwei Chen, Yi Chen, Aniket Rege, Ramya Korlakai Vinayak
- Published: 10 Oct 2024, Last Modified: 23 Oct 2024
- FITML 2024 Poster
- Readers: Everyone
Fine tuning language models to align fidelity and efficiency of generative retrieval in multi-turn dialogues
Jeremy Curuksu
- Published: 10 Oct 2024, Last Modified: 01 Nov 2024
- FITML 2024 Poster
- Readers: Everyone
Exploring Continual Fine-Tuning for Enhancing Language Ability in Large Language Model
Divyanshu Aggarwal, Sankarshan Damle, Navin Goyal, Satya Lokam, Sunayana Sitaram
- Published: 10 Oct 2024, Last Modified: 06 Nov 2024
- FITML 2024 Poster
- Readers: Everyone
On Efficient Distillation from LLMs to SLMs
Metod Jazbec, Menglin Xia, Ankur Mallick, Daniel Madrigal, Dongge Han, Samuel Kessler, Victor Rühle
- Published: 10 Oct 2024, Last Modified: 27 Oct 2024
- FITML 2024 Poster
- Readers: Everyone
ActNAS : Generating Efficient YOLO Models using Activation NAS
Sudhakar Sah, Ravish Kumar, Darshan C Ganji, Ehsan Saboori
- Published: 10 Oct 2024, Last Modified: 31 Oct 2024
- FITML 2024 Poster
- Readers: Everyone
A Layer Selection Approach to Test Time Adaptation
Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawe, Yann Batiste Pequignot, Frederic Precioso, Christian Gagné
- Published: 10 Oct 2024, Last Modified: 01 Nov 2024
- FITML 2024 Poster
- Readers: Everyone
Understanding Visual Concepts Across Models
Brandon Trabucco, Max A Gurinas, Kyle Doherty, Russ Salakhutdinov
- Published: 10 Oct 2024, Last Modified: 10 Oct 2024
- FITML 2024 Poster
- Readers: Everyone
CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation
Ingo Ziegler, Abdullatif Köksal, Desmond Elliott, Hinrich Schuetze
- Published: 10 Oct 2024, Last Modified: 01 Nov 2024
- FITML 2024 Poster
- Readers: Everyone
One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation
Fabian Paischer, Lukas Hauzenberger, Thomas Schmied, Benedikt Alkin, Marc Peter Deisenroth, Sepp Hochreiter
- Published: 10 Oct 2024, Last Modified: 22 Oct 2024
- FITML 2024 Poster
- Readers: Everyone
Ensembling Finetuned Language Models for Text Classification
Sebastian Pineda Arango, Maciej Janowski, Lennart Purucker, Arber Zela, Frank Hutter, Josif Grabocka
- Published: 10 Oct 2024, Last Modified: 25 Oct 2024
- FITML 2024 Poster
- Readers: Everyone
Best Unpacking DPO and PPO: Disentangling Practices for Learning from Preference Feedback
Hamish Ivison, Yizhong Wang, Jiacheng Liu, Zeqiu Wu, Valentina Pyatkin, Nathan Lambert, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi
- Published: 10 Oct 2024, Last Modified: 23 Oct 2024
- FITML 2024 Poster
- Readers: Everyone
ImageNet-RIB Benchmark: Large Pre-Training Datasets Don't Guarantee Robustness after Fine-Tuning
Jaedong Hwang, Brian Cheung, Zhang-Wei Hong, Akhilan Boopathy, Pulkit Agrawal, Ila R Fiete
- Published: 10 Oct 2024, Last Modified: 31 Oct 2024
- FITML 2024 Poster
- Readers: Everyone