All Papers
34,180 papers found • Page 661 of 684
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation
Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami et al.
Towards a statistical theory of data selection under weak supervision
Germain Kolossov, Andrea Montanari, Pulkit Tandon
Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation
Zhen Zhang, Junfeng Yang, Limei Liu et al.
Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components
Zhiliang Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low
Towards Automated Chinese Ancient Character Restoration: A Diffusion-Based Method with a New Dataset
Haolong Li, Chenghao Du, Ziheng Jiang et al.
Towards Automated Movie Trailer Generation
Dawit Argaw Argaw, Mattia Soldan, Alejandro Pardo et al.
Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning
Chen BAI, Jianwang Zhai, Yuzhe Ma et al.
Towards Automatic Power Battery Detection: New Challenge Benchmark Dataset and Baseline
Xiaoqi Zhao, Youwei Pang, Zhenyu Chen et al.
Towards Backward-Compatible Continual Learning of Image Compression
Zhihao Duan, Ming Lu, Justin Yang et al.
Towards Balanced Alignment: Modal-Enhanced Semantic Modeling for Video Moment Retrieval
Zhihang Liu, Jun Li, Hongtao Xie et al.
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
Fred Zhang, Neel Nanda
Towards Better Vision-Inspired Vision-Language Models
Yun-Hao Cao, Kaixiang Ji, Ziyuan Huang et al.
Towards Calibrated Multi-label Deep Neural Networks
Jiacheng Cheng, Nuno Vasconcelos
Towards Category Unification of 3D Single Object Tracking on Point Clouds
Jiahao Nie, Zhiwei He, Xudong Lv et al.
Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention
Jiaqi Zhang, Joel Jennings, Agrin Hilmkil et al.
Towards Certifiably Robust Face Recognition
Seunghun Paik, Dongsoo Kim, Chanwoo Hwang et al.
Towards Certified Unlearning for Deep Neural Networks
Binchi Zhang, Yushun Dong, Tianhao Wang et al.
Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models
Zeyu Zhou, Ruqi Bai, Sean Kulinski et al.
Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators
Yaniv Blumenfeld, Itay Hubara, Daniel Soudry
Towards CLIP-driven Language-free 3D Visual Grounding via 2D-3D Relational Enhancement and Consistency
Yuqi Zhang, Han Luo, Yinjie Lei
Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs
Lean Wang, Wenkai Yang, Deli Chen et al.
Towards Co-Evaluation of Cameras HDR and Algorithms for Industrial-Grade 6DoF Pose Estimation
Agastya Kalra, Guy Stoppi, Dmitrii Marin et al.
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders
Yaohua Zha, Huizhen Ji, Jinmin Li et al.
Towards compact reversible image representations for neural style transfer
Xiyao Liu, Siyu Yang, Jian Zhang et al.
Towards Compositionality in Concept Learning
Adam Stein, Aaditya Naik, Yinjun Wu et al.
Towards Continual Knowledge Graph Embedding via Incremental Distillation
Jiajun Liu, Ke Wenjun, Peng Wang et al.
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding
Depeng Li, Tianqi Wang, Junwei Chen et al.
Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning
Yeongwoo Song, Hawoong Jeong
Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model
Zhenyu Xie, Yang Wu, Xuehao Gao et al.
Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
Xiaogang Jia, Denis Blessing, Xinkai Jiang et al.
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
Jihyeon Seong, Jungmin Kim, Jaesik Choi
Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization
Marin Scalbert, Maria Vakalopoulou, Florent Couzinie-Devy
Towards Dual Transparent Liquid Level Estimation in Biomedical Lab: Dataset, Methods and Practice
Xiayu Wang, Ke Ma, Ruiyun Zhong et al.
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
Binwu Wang, Pengkun Wang, Yudong Zhang et al.
Towards Effective and General Graph Unlearning via Mutual Evolution
Xunkai Li, Yulin Zhao, Zhengyu Wu et al.
Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation
Junyan Wang, Zhenhong Sun, Stewart Tan et al.
Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning
Kaibin Tian, Yanhua Cheng, Yi Liu et al.
Towards efficient deep spiking neural networks construction with spiking activity based pruning
Yaxin Li, Qi Xu, Jiangrong Shen et al.
Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks
Siyu Zou, Jiji Tang, Yiyi Zhou et al.
Towards Efficient Exact Optimization of Language Model Alignment
Haozhe Ji, Cheng Lu, Yilin Niu et al.
Towards Efficient Replay in Federated Incremental Learning
Yichen Li, Qunwei Li, Haozhao Wang et al.
Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration
Zhengyang Zhuge, Peisong Wang, Xingting Yao et al.
Towards Efficient Training and Evaluation of Robust Models against $l_0$ Bounded Adversarial Perturbations
Xuyang Zhong, Yixiao HUANG, Chen Liu
Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks
Yanbo Wang, Jian Liang, Ran He
Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework
Xinyu Shi, Jianhao Ding, Zecheng Hao et al.
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
Xiang Lan, Hanshu Yan, Shenda Hong et al.
Towards Epistemic-Doxastic Planning with Observation and Revision
Thorsten Engesser, Andreas Herzig, Elise Perrotin
Towards Equipping Transformer with the Ability of Systematic Compositionality
Chen Huang, Peixin Qin, Wenqiang Lei et al.
Towards Establishing Guaranteed Error for Learned Database Operations
Sepanta Zeighami, Cyrus Shahabi
Towards Explainable Joint Models via Information Theory for Multiple Intent Detection and Slot Filling
Xianwei Zhuang, Xuxin Cheng, Yuexian Zou