Papers
Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical Explanations
Aditya Kalyanpur, Tom Breloff, David A Ferrucci
Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows
Param Budhraja, Mayank Baranwal, Kunal Garg et al.
Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae
Weilin Luo, Pingjia Liang, Jianfeng Du et al.
Bridging the Gap between Expression and Scene Text for Referring Expression Comprehension (Student Abstract)
Yuqi Bu, Jiayuan Xie, Liuwu Li et al.
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech
Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff et al.
BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents
Teakgyu Hong, DongHyun Kim, Mingi Ji et al.
BScNets: Block Simplicial Complex Neural Networks
Yuzhou Chen, Yulia R. Gel, H. Vincent Poor
Building Goal-Oriented Dialogue Systems with Situated Visual Context
Sanchit Agarwal, Jan Jezabek, Arijit Biswas et al.
C2L: Causally Contrastive Learning for Robust Text Classification
Seungtaek Choi, Myeongho Jeong, Hojae Han et al.
C3D and Localization Model for Locating and Recognizing the Actions from Untrimmed Videos (Student Abstract)
Himanshu Singh, Tirupati Pallewad, Badri N Subudhi et al.
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving
Yinuo Zhao, Kun Wu, Zhiyuan Xu et al.
CAISE: Conversational Agent for Image Search and Editing
Hyounghun Kim, Doo Soon Kim, Seunghyun Yoon et al.
Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs
Chunpai Wang, Daniel B. Neill, Feng Chen
Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge
Yoonna Jang, Jungwoo Lim, Yuna Hur et al.
Can Machines Read Coding Manuals Yet? – A Benchmark for Building Better Language Models for Code Understanding
Ibrahim Abdelaziz, Julian Dolby, Jamie McCusker et al.
Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
Longhui Wei, Lingxi Xie, Jianzhong He et al.
Can Vision Transformers Learn without Natural Images?
Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto et al.
Capsule Graph Neural Network for Multi-Label Image Recognition (Student Abstract)
Xiangping Zheng, Xun Liang, Bo Wu
Categorical Neighbour Correlation Coefficient (CnCor) for Detecting Relationships between Categorical Variables
Lifeng Zhang, Shimo Yang, Hongxun Jiang
Category-Specific Nuance Exploration Network for Fine-Grained Object Retrieval
Shijie Wang, Zhihui Wang, Haojie Li et al.
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting
Hui He, Qi Zhang, Simeng Bai et al.
Causal Discovery in Hawkes Processes by Minimum Description Length
Amirkasra Jalaldoust, Kateřina Hlaváčková-Schindler, Claudia Plant
CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting
Lijing Wang, Aniruddha Adiga, Jiangzhuo Chen et al.
Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition
Yingjie Chen, Diqi Chen, Tao Wang et al.