Tiny Papers Oral Session 3

Thu 9 May 4:15 a.m. PDT — 5:15 a.m. PDT

Abstract:

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-	Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel ( Oral ) > link Link	Bahaa Kotb · Jordan Dotzel · James Dotzel · Mohamed Abdelfattah · Zhiru Zhang 🔗
-	KFC: Knowledge Reconstruction and Feedback Consolidation Enable Efficient and Effective Continual Generative Learning ( Oral ) > link Link	Libo Huang · Zhulin An · Yan Zeng · xiang zhi · Yongjun Xu 🔗
-	Colorful Cutout: Enhancing Image Data Augmentation with Curriculum Learning ( Oral ) > link Link	Juhwan Choi · Youngbin Kim 🔗
-	Policy Optimization in RLHF: The Impact of Out-of-preference Data ( Oral ) > link Link	Ziniu Li · Tian Xu · Yang Yu 🔗
-	Dissecting Zero-Shot Visual Reasoning Capabilities in Vision and Language Models ( Oral ) > link Link	Aishik Nagar · Shantanu Jaiswal · Cheston Tan 🔗
-	Analog In-Memory Computing with Uncertainty Quantification for Efficient Edge-based Medical Imaging Segmentation ( Oral ) > link Link	Imane Hamzaoui · Hadjer Benmeziane · Zayneb Cherif · Kaoutar El Maghraoui 🔗
-	Can LLMs Learn a New Language on the Fly? A Case Study on Zhuang ( Oral ) > link Link	Chen Zhang · Mingxu Tao · Quzhe Huang · Zhibin Chen · Yansong Feng 🔗
-	Collapse of Self-trained Language Models ( Oral ) > link Link	David Herel 🔗