Papers
Bridging the Gap between Source Code and Requirements Using GPT (Student Abstract)
Ruoyu Xu, Zhenyu Xu, Gaoxiang Li et al.
Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need
Jiaxuan Chen, Yu Qi, Yueming Wang et al.
Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model
Lingjun Zhang, Xinyuan Chen, Yaohui Wang et al.
B-spine: Learning B-spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation
Hao Wang, Qiang Song, Ruofeng Yin et al.
Building Conversational Artifacts to Enable Digital Assistant for APIs and RPAs
Jayachandu Bandlamudi, Kushal Mukherjee, Prerna Agarwal et al.
Building Higher-Order Abstractions from the Components of Recommender Systems
Serdar Kadıoğlu, Bernard Kleynhans
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning
Zizhao Wang, Caroline Wang, Xuesu Xiao et al.
Building Variable-Sized Models via Learngene Pool
Boyu Shi, Shiyu Xia, Xu Yang et al.
Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education
Zhonghao Shi, Amy O'Connell, Zongjian Li et al.
BVT-IMA: Binary Vision Transformer with Information-Modified Attention
Zhenyu Wang, Hao Luo, Xuemei Xie et al.
Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation
Caiyi Yang, Javad Ghaderi
Cached Transformers: Improving Transformers with Differentiable Memory Cachde
Zhaoyang Zhang, Wenqi Shao, Yixiao Ge et al.
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space
Mohsin Hasan, Guojun Zhang, Kaiyang Guo et al.
CAMEL: Capturing Metaphorical Alignment with Context Disentangling for Multimodal Emotion Recognition
Linhao Zhang, Li Jin, Guangluan Xu et al.
CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification
Kaitao Chen, Shiliang Sun, Jing Zhao
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models
Zhongxi Chen, Ke Sun, Xianming Lin
Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis
Caoyun Fan, Jindou Chen, Yaohui Jin et al.
Can Large Language Models Understand Real-World Complex Instructions?
Qianyu He, Jie Zeng, Wenhao Huang et al.
Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning
Turgay Caglar, Sirine Belhaj, Tathagata Chakraborty et al.
Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It’s Complicated
Katherine Metcalf, Miguel Sarabia, Masha Fedzechkina et al.
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition
Cheng Peng, Ke Chen, Lidan Shou et al.
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time
Soumyendu Sarkar, Avisek Naug, Ricardo Luna et al.
CariesXrays: Enhancing Caries Detection in Hospital-Scale Panoramic Dental X-rays via Feature Pyramid Contrastive Learning
Bingzhi Chen, Sisi Fu, Yishu Liu et al.