Papers
11,955 papers found
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
Alan Jeffares, Tennison Liu, Jonathan Crabbé et al.
Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
Shaokun Zhang, Feiran Jia, Chi Wang et al.
Task Ambiguity in Humans and Language Models
Alex Tamkin, Kunal Handa, Avash Shrestha et al.
Task-Aware Information Routing from Common Representation Space in Lifelong Learning
Prashant Shivaram Bhat, Bahram Zonooz, Elahe Arani
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts
Zhili LIU, Kai Chen, Jianhua Han et al.
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations
Haoxuan Li, Yan Lyu, Chunyuan Zheng et al.
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim et al.
TempCLR: Temporal Alignment Representation with Contrastive Learning
Yuncong Yang, Jiawei Ma, Shiyuan Huang et al.
TEMPERA: Test-Time Prompt Editing via Reinforcement Learning
Tianjun Zhang, Xuezhi Wang, Denny Zhou et al.
Temperature Schedules for self-supervised contrastive methods on long-tail data
Anna Kukleva, Moritz Böhle, Bernt Schiele et al.
Temporal Coherent Test Time Optimization for Robust Video Classification
Chenyu Yi, SIYUAN YANG, Yufei Wang et al.
Temporal Dependencies in Feature Importance for Time Series Prediction
Kin Kwan Leung, Clayton Rooke, Jonathan Smith et al.
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning
Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck et al.
Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks
Guangji Bai, Chen Ling, Liang Zhao
Tensor-Based Sketching Method for the Low-Rank Approximation of Data Streams.
Cuiyu Liu, Xiao Chuanfu, Mingshuo Ding et al.
Test-Time Adaptation via Self-Training with Nearest Neighbor Information
Minguk Jang, Sae-Young Chung, Hye Won Chung
Test-Time Robust Personalization for Federated Learning
Liangze Jiang, Tao Lin
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization
Bairu Hou, Jinghan Jia, Yihua Zhang et al.
TextShield: Beyond Successfully Detecting Adversarial Sentences in text classification
Lingfeng Shen, Ze Zhang, Haiyun Jiang et al.
Text Summarization with Oracle Expectation
Yumo Xu, Mirella Lapata
That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation
Kilian Zepf, Eike Petersen, Jes Frellsen et al.
The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks
Daniel Kunin, Atsushi Yamamura, Chao Ma et al.