Papers
iCD: An Implicit Clustering Distillation Method for Structural Information Mining (Student Abstract)
Xiang Xue, Yatu Ji, Qing-Dao-Er-Ji Ren et al.
Do Large Language Models (LLMs) Understand Chronology? (Student Abstract)
Pattaraphon Kenny Wongchamcharoen, Paul Glasserman
Misclassification-Aware Robust Learning from Multiple Human Labelers (Student Abstract)
Zuoyuehe Wang, Chicheng Ma, Pengpeng Chen et al.
APEX-Q: Arbitrary-dimension Product-EXtension Quantization for Accelerated LLM Deployment (Student Abstract)
Yian Wang, Ye Qiao, Sitao Huang et al.
ResNet-GA: Evolutionary Deep Learning Models for Adversarial Defense (Student Abstract)
Li-Chiao Wang, Chung-Shou Liao, Wei Liu
Assessing the Risk of Falls in Older Adults Living in the Community Using Machine Learning Models with Imputation (Student Abstract)
Atul Teja Vellampalli, Yugan Kumar, Kai Zhe Tan et al.
Improving CAPTCHA Robustness via Controlled Image Corruptions (Student Abstract)
Suchetan G. Uppur, Ashish Kumar, Akshay Agarwal
Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint (Student Abstract)
Bertille Tierny, Arthur Charpentier, Francois Hu
LowRank-CAM: A Computationally Efficient and Interpretable Framework for Medical Image Analysis (Student Abstract)
Gokaramaiah Thota, Nagaraju K, Sathya Babu Korra
CtoD-MAT: Bridging Centralized and Decentralized Execution in Multi-Agent Reinforcement Learning (Student Abstract)
Shota Takayama, Katsuhide Fujita
Domain-Specific Retrieval for Retrieval-Augmented Generation: A Case Study on Pertussis Research (Student Abstract)
Hiroki Takabatake, Niken Prasasti Martono, Asaomi Kuwae et al.
Guarding Digital Identity: Attention-Guided Fusion for Detecting Forged ID Documents (Student Abstract)
Gargi Surendra Yeole, Poulomi Bhattacharya, Akshay Agarwal
Efficient Contextual Bandit Learning via Reward-Space Sampling and Online Optimization (Student Abstract)
Egor Suraveikin, Dastan Omirzak, Roman Sultimov et al.
RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents (Student Abstract)
Roman Sultimov, Mikhail Mozikov, Dmitrii Abramov et al.
Network Inversion for Uncertainty-Aware Out-of-Distribution Detection (Student Abstract)
Pirzada Suhail, Rehna Afroz Shaik, Gouranga Bala et al.
Shortcut Learning Susceptibility in Vision Classifiers (Student Abstract)
Pirzada Suhail, Vrinda Goel, Amit Sethi
MV-LLMRec: Multi-View Representation Learning with Large Language Models for Recommendation (Student Abstract)
Minkyung Song, Soyoung Park, Sungsu Lim
When Equal Isn’t Fair: Mitigating Over-Normalization in Large Language Models (Student Abstract)
Ravada Satyadev, Aditya Ganesh Kumar, Avinash Anand et al.
Feasibility-Aware Masked Transformer for the Pickup-and-Delivery Problem with Time Windows (Student Abstract)
Kaede Saito, Ryota Higa, Hiromu Imura et al.
CRIME: Community Rewiring for Influence and Masking Entities in Social Networks (Student Abstract)
Nilanjana Saha, Animesh Dutta
SciDataMAS: LLM-Driven MAS for Scientific Data Management (Student Abstract)
Alexander Sachuk, Vyacheslav Chukanov, Ekaterina Pchitskaya
A Lightweight Safety Helmet Compliance Detection via Multimodal Fusion (Student Abstract)
Jeong Hwan Ryu, Azimjon Akhtamov, Md Azher Uddin et al.