Papers
Reward Model Evaluation via Automatically-Ranked Policy Alignment
Aoran Wang, Lei Ou, Yang Yu et al.
Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training
Weilin Wan, Fan Yi, Weizhong Zhang et al.
FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence
Guoan Wan, Tianyu Chen, Fangzheng Feng et al.
DAWN: Distributed LLM Multi-Agent Workflow Synthesis
Guancheng Wan, Mo Zhou, Ziyi Wang et al.
Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach
Nassim Walha, Sebastian G. Gruber, Thomas Decker et al.
Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks
Govind Waghmare, Srini Rohan Gujulla Leel, Nikhil Tumbde et al.
Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning
Sanyam Vyas, Alberto Caron, Chris Hicks et al.
A Novel Approach to Evaluating Evaluation Metrics for Multi-Output Structured Prediction
Akshay Vyas, Angelo Pimienta, Nicholas Ruozzi
Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion
Evgeniia Vu, Andrei Boiarov, Dmitry Vetrov
Hybrid Restricted Master Problem for Boolean Matrix Factorisation
Ellen Visscher, Michael Forbes, Christopher Yau
Center-Outward q-Dominance: A Sample-Computable Proxy for Strong Stochastic Dominance in Stochastic Multi-Objective Optimisation
Robin van der Laag, Hao Wang, Thomas Bäck et al.
T3former: Temporal Graph Classification with Topological Machine Learning
Md Joshem Uddin, Soham Changani, Baris Coskunuzer
Guided Perturbation Sensitivity (GPS): Detecting Adversarial Text via Embedding Stability and Word Importance
Bryan E. Tuck, Rakesh M. Verma
Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation
Askar Tsyganov, Evgeny Frolov, Sergey Samsonov et al.
Robust SDE Parameter Estimation Under Missing Time Information Setting
Van Long Tran, Truyen Tran, Phuoc Nguyen
Post Training Quantization for Efficient Dataset Condensation
Linh-Tam Tran, Sung-Ho Bae
Video Echoed in Music: Semantic, Temporal, and Rhythmic Alignment for Video-to-Music Generation
Xinyi Tong, Yiran Zhu, Jishang Chen et al.
Meta-GAIN for Missing Data Imputation
Tao Tong, Xiaofeng Zhu, Jiangzhang Gan
Efficiently Enhancing Long-term Series Forecasting via Adaptive Lookback with Wavelets
Suxin Tong, Jingling Yuan
NADIR: Differential Attention Flow for Non-Autoregressive Transliteration in Indic Languages
Lakshya Tomar, Vinayak Abrol, Puneet Agarwal
Efficient Modality Translation via Arbitrary Conditioning and Wasserstein Regularization
Tomas Tokar, Scott Sanner
Data Heterogeneity and Forgotten Labels in Split Federated Learning
Joana Tirana, Dimitra Tsigkari, David Solans Noguero et al.
Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint
Bertille Tierny, Arthur Charpentier, Francois Hu
Adaptive and Context-rich Generative Self-supervised Learning on Graphs
Yijun Tian, Chuxu Zhang, Ziyi Kou et al.
Sampling Control for Imbalanced Calibration in Semi-Supervised Learning
Senmao Tian, Xiang Wei, Shunli Zhang