NeurIPS 2023 Workshop R0-FoMo Submissions

Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning
Yassir Bendou, Bastien Pasdeloup, Giulia Lioi, Vincent Gripon, Fabien Cardinaux, Ghouthi BOUKLI HACENE, Lukas Mauch
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
Dr.ICL: Demonstration-Retrieved In-context Learning
Man Luo, Xin Xu, Zhuyun Dai, Panupong Pasupat, Mehran Kazemi, Chitta Baral, Vaiva Imbrasaite, Vincent Y Zhao
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
The Consensus Game: Language Model Generation via Equilibrium Search
Athul Paul Jacob, Yikang Shen, Gabriele Farina, Jacob Andreas
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Oral
- Readers: Everyone
On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation
Duy Minh Ho Nguyen, Tan Ngoc Pham, Nghiem Tuong Diep, Nghi Quoc Phan, Quang Pham, Vinh Tong, Binh T. Nguyen, Ngan Hoang Le, Nhat Ho, Pengtao Xie, Daniel Sonntag, Mathias Niepert
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
HePCo: Data-Free Heterogeneous Prompt Consolidation for Continual Federated Learning
Shaunak Halbe, James Smith, Junjiao Tian, Zsolt Kira
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
LOWA: Localize Objects in the Wild with Attributes
Xiaoyuan Guo, Kezhen Chen, Jinmeng Rao, Yawen Zhang, Baochen Sun, Jie Yang
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
ICL-Markup: Structuring In-Context Learning using Soft-Token Tags
Marc-Etienne Brunet, Ashton Anderson, Richard Zemel
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
Trainable Transformer in Transformer
Abhishek Panigrahi, Sadhika Malladi, Mengzhou Xia, Sanjeev Arora
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
LOVM: Language-Only Vision Model Selection
Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
Think before you speak: Training Language Models With Pause Tokens
Sachin Goyal, Ziwei Ji, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar, Vaishnavh Nagarajan
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
READ: Recurrent Adaptation of Large Transformers
Sid Wang, John Nguyen, Ke Li, Carole-Jean Wu
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
Are Large Language Models Post Hoc Explainers?
Nicholas Kroeger, Dan Ley, Satyapriya Krishna, Chirag Agarwal, Himabindu Lakkaraju
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
Why Larger Language Models Do In-context Learning Differently?
Zhenmei Shi, Junyi Wei, Zhuoyan Xu, Yingyu Liang
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification
Chao Yi, Lu Ren, De-Chuan Zhan, Han-Jia Ye
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine Heller, Subhrajit Roy
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Spotlight
- Readers: Everyone
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
Sagar Sakhinana, Sannidhi Geethan, Venkataramana Runkana
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Design
Sagar Sakhinana, Venkataramana Runkana
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning
Sagar Sakhinana, Venkataramana Runkana
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
FedJETs: Efficient Just-In-Time Personalization with Federated Mixture of Experts
Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Awadallah, Robert Sim, Anastasios Kyrillidis, Dimitrios Dimitriadis
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
Alexander Robey, Eric Wong, Hamed Hassani, George Pappas
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
Meta- (out-of-context) learning in neural networks
Dmitrii Krasheninnikov, Egor Krasheninnikov, Bruno Mlodozeniec, David Krueger
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
Fewshot learning on global multimodal embeddings for earth observation tasks
Matthew Allen, Francisco Dorr, Joseph Alejandro Gallego Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
Context is Environment
Sharut Gupta, David Lopez-Paz, Stefanie Jegelka, Kartik Ahuja
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
Extra Training Provides a Strong Baseline for CLIP
Alaa Khaddaj, Hadi Salman, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone
Dissecting In-Context Learning of Translations
Vikas Raunak, Arul Menezes, Hany Hassan Awadalla
- Published: 01 Nov 2023, Last Modified: 12 Dec 2023
- R0-FoMo Poster
- Readers: Everyone