Education
Glance and Focus: Memory Prompting for Multi-Event Video Question Answering Ziyi Bai
Video Question Answering (VideoQA) has emerged as a vital tool to evaluate agents' ability to understand human daily behaviors. Despite the recent success of large vision language models in many multi-modal tasks, complex situation reasoning over videos involving multiple human-object interaction events still remains challenging.
Causal Inference with Noisy and Missing Covariates via Matrix Factorization
Nathan Kallus, Xiaojie Mao, Madeleine Udell
Neural Information Processing Systems http://nips.cc/
Reinforced Cross-Domain Knowledge Distillation on Time Series Data
D istillation ( RCD-KD) which can effectively adapt to student's network capability via dynamically selecting suitable target domain samples for knowledge transferring.
H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets
Fairness and robustness are two important goals in the desig n of modern distributed learning systems. Despite a few prior works attemp ting to achieve both fairness and robustness, some key aspects of this direction remain underexplored. In this paper, we try to answer three largely unnoticed and un addressed questions that are of paramount significance to this topic: (i) What mak es jointly satisfying fairness and robustness difficult?
Learning to Teach with Dynamic Loss Functions
Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Lai Jian-Huang, Tie-Yan Liu
Theultimate goalofteacher model is cultivating the student to have better performance measured on development dataset.
Query Complexity of Bayesian Private Learning
Neural Information Processing Systems http://nips.cc/