Paper Papers
5,964 papers found • Page 67 of 120
Conference
The Unreasonable Effectiveness of Open Science in AI: A Replication Study
Odd Erik Gundersen, Odd Cappelen, Martin Mølnå et al.
The Value of Recall in Extensive-Form Games
Ratip Emin Berker, Emanuel Tewolde, Ioannis Anagnostides et al.
The VOROS: Lifting ROC Curves to 3D to Summarize Unbalanced Classifier Performance
Christopher Ratigan, Lenore Cowen
The World According to LLMs: How Geographic Origin Influences LLMs' Entity Deduction Capabilities
Harsh Nishant Lalai, Raj Sanjay Shah, Jiaxin Pei et al.
The Zero Body Problem: Probing LLM Use of Sensory Language
Rebecca M. M. Hicke, Sil Hamilton, David Mimno
THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction
Yanchao Liu, Pengzhou Zhang, Wenchao Song et al.
Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues
Mingshen Wang, Zhao Zhang, Feng Li et al.
Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations
Decheng Liu, Zongqi Wang, Chunlei Peng et al.
Thin-Plate Spline-based Interpolation for Animation Line Inbetweening
Tianyi Zhu, Wei Shang, Dongwei Ren
Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension
Chenxu Wang, Ping Jian, Zhen Yang
ThoughtTerminator: Benchmarking, Calibrating, and Mitigating Overthinking in Reasoning Models
Xiao Pu, Michael Saxon, Wenyue Hua et al.
Three Techniques for Enhancing Emotional Expression on Embodied Avatar Face in VR
Jaejoon Jeong, Gun A. Lee, Hyung-Jeong Yang et al.
Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves
Martin Kurečka, Václav Nevyhoštěný, Petr Novotný et al.
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications
Yutong Xia, Runpeng Yu, Yuxuan Liang et al.
Through the Expert's Eyes: Exploring Asynchronous Expert Perspectives and Gaze Visualizations in XR
Clara Sayffaerth, Annika Köhler, Julian Rasch et al.
ThumbShift: Modulating Perceived Object Properties through Dynamic Thumb Repositioning
Jian Zhang, Gavin Buckingham, Wafa Johal et al.
Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers.
Zhu Liao, Nour Hezbri, Victor Quétu et al.
Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning
Chenglin Li, Guangchun Ruan, Hua Geng
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
Geon Lee, Wenchao Yu, Kijung Shin et al.
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis
Jiexi Liu, Meng Cao, Songcan Chen
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
Chenxi Liu, Qianxiong Xu, Hao Miao et al.
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
Yu-Hao Huang, Chang Xu, Yueying Wu et al.
TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation
Yanyong Huang, Minghui Lu, Wei Huang et al.
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
Ege Onur Taga, Muhammed Emrullah Ildiz, Samet Oymak
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan
Time Series Supplier Allocation via Deep Black-Litterman Model
Xinke Jiang, Wentao Zhang, Yuchen Fang et al.
TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning
Baichuan Huang, Amir Aminifar
TinySAM: Pushing the Envelope for Efficient Segment Anything Model
Han Shu, Wenshuo Li, Yehui Tang et al.
TinySubNets: An Efficient and Low Capacity Continual Learning Strategy
Marcin Pietron, Kamil Faber, Dominik Żurek et al.
TIV-Diffusion: Towards Object-Centric Movement for Text-driven Image to Video Generation
Xingrui Wang, Xin Li, Yaosi Hu et al.
T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation
Dongyeon Kim, Yejin Kan, Gangman Yi
TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings
Tianyu Zong, Bingkang Shi, Hongzhu Yi et al.
To Backtrack or Not to Backtrack: When Sequential Search Limits Model Reasoning
Tian Qin, David Alvarez-Melis, Samy Jelassi et al.
Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation
Yichi Zhang, Zhuo Chen, Lingbing Guo et al.
TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification
Xiao Wang, Lekai Liu, Bin Yang et al.
Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification
Zijie Zhou, Zhaoqi Lu, Xuekai Wei et al.
Told You That Will Not Work: Optimal Corrections to Planning Domains Using Counter-Example Plans
Songtuan Lin, Alban Grastien, Rahul Shome et al.
ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind
Kazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida et al.
Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning
Yiming Yang, Yueru Luo, Bingkun He et al.
Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity
Tianqi Shen, Shaohua Liu, Jiaqi Feng et al.
To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation
Jungkyu Kim, Kibok Lee, Taeyoung Park
Touching the Virtual Dog: Effects of Active and Passive Haptic Feedback on Social Bonding and Presence in VR Pet Interaction
Ahmad A Fouad, Hyeongil Nam, Anh Nguyen et al.
TouchWalker: Real-Time Avatar Locomotion from Touchscreen Finger Walking
Geuntae Park, Jiwon Yi, Taehyun James Rhee et al.
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
Jun Liu, Zhenglun Kong, Pu Zhao et al.
Toward a More Standardized Multi-directional Tapping Task in VR: The Effect of Target Depth
Haejun Kim, Yuhwa Hong, Jihae Yu et al.
Toward Efficient Data-Free Unlearning
Chenhao Zhang, Shaofei Shen, Weitong Chen et al.
Toward Falsifying Causal Graphs Using a Permutation-Based Test
Elias Eulig, Atalanti A. Mastakouri, Patrick Blöbaum et al.
Toward Improving Robustness and Accuracy in Unsupervised Domain Adaptation
Aishwarya Soni, Tanima Dutta
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP
Zhongxing Xu, Feilong Tang, Zhe Chen et al.
Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism
Yu Liang, Wenjie Wei, Ammar Belatreche et al.