NeurIPS 2024 Workshop AFM Submissions

SpikingVTG: Saliency Feedback Gating Enabled Spiking Video Temporal Grounding
Malyaban Bal, Brian Matejek, Susmit Jha, Adam D. Cobb
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
MESS+: Energy-Optimal Inferencing in Language Model Zoos with Service Level Guarantees
Ryan Zhang, Herbert Woisetschläger, Shiqiang Wang, Hans Arno Jacobsen
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
Do Think Tags Really Help LLMs Plan? A Critical Evaluation of ReAct-Style Prompting
Mudit Verma, Siddhant Bhambri, Subbarao Kambhampati
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
Fully-inductive Node Classification on Arbitrary Graphs
Jianan Zhao, Mikhail Galkin, Hesham Mostafa, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
LinkGPT: Teaching Large Language Models To Predict Missing Links
Zhongmou He, Jing Zhu, Shengyi Qian, Joyce Chai, Danai Koutra
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation
Quanting Xie, So Yeon Min, Tianyi Zhang, Kedi Xu, Aarav Bajaj, Russ Salakhutdinov, Matthew Johnson-Roberson, Yonatan Bisk
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
Data-Efficient Training by Evolved Sampling
Ziheng Cheng, Zhong Li, Jiang Bian
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
Slaying the HyDRA: Parameter-Efficient Hyper Networks with Low-Displacement Rank Adaptation
Xiangyu Chen, Ye Wang, Matthew Brand, Pu Perry Wang, Jing Liu, Toshiaki Koike-Akino
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
MD-DiT: Step-aware Mixture-of-Depths for Efficient Diffusion Transformers
Mingzhu Shen, Pengtao Chen, Peng Ye, Guoxuan Xia, Tao Chen, Christos-Savvas Bouganis, Yiren Zhao
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
Effective Text-to-Image Alignment with Quality Aware Pair Ranking
Kunal Singh, Mukund Khanna, Pradeep Moturi
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
Efficient Transfer Learning driven by Layer-wise Features Aggregation
Chanwoo Kim, Jeyoon Yeom, JOOWANG KIM, Suho Kang, Kyungwoo Song
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding
Xinyu Yang, Tianqi Chen, Beidi Chen
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
Dynamic Subset Tuning: Expanding the Operational Range of Parameter-Efficient Training for Large Language Models
Felix Stahlberg, Jared Lichtarge, Shankar Kumar
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
Efficient Domain Adaptation of Robotic Foundation Models via Hypernetwork-Generated LoRA
Zheng Xiong, Siddhant Sharma, Kang Li, Risto Vuorio, Shimon Whiteson
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
NegMerge: Consensual Weight Negation for Strong Machine Unlearning
Hyoseo Kim, Dongyoon Han, Junsuk Choe
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
Uncertainty-Penalized Direct Preference Optimization
Sam Houliston, Alizée Pace, Alexander Immer, Gunnar Ratsch
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
DuoDiff: Accelerating Diffusion Models with a Dual-Backbone Approach
Daniel Gallo Fernández, Răzvan-Andrei Matișan, Alejandro Monroy Muñoz, Ana Maria Vasilcoiu, Janusz Partyka, Tin Hadži Veljković, Metod Jazbec
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
Pick Your Influencer: Being Selective is Good for Personalization
Ashutosh Ranjan, Vivek Srivastava, Shirish Karande
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
Approximate Top-k for Increased Parallelism
Oscar Key, Luka Ribar, Alberto Cattaneo, Luke Hudlass-Galley, Douglas Orr
- Published: 10 Oct 2024, Last Modified: 05 Dec 2024
- AFM 2024 Poster
- Readers: Everyone
$\text{Transformer}^2$: Self-adaptive LLMs
Qi Sun, Edoardo Cetin, Yujin Tang
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
Imbalance-Regularized LoRA: A Plug-and-Play Method for Improving Fine-Tuning of Foundation Models
Zhenyu Zhu, Yongtao Wu, Quanquan Gu, Volkan Cevher
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
Self-Play Preference Optimization for Language Model Alignment
Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Oral
- Readers: Everyone
Long Context RAG Performance of Large Language Models
Quinn Leng, Jacob Portes, Sam Havens, Matei Zaharia, Michael Carbin
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone
Controlling Forgetting with Test-Time Data in Continual Learning
Vaibhav Singh, Rahaf Aljundi, Eugene Belilovsky
- Published: 10 Oct 2024, Last Modified: 19 Nov 2024
- AFM 2024 Poster
- Readers: Everyone