Papers
IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling
Chenlin Meng, Enci Liu, Willie Neiswanger et al.
Is Discourse Role Important for Emotion Recognition in Conversation?
Donovan Ong, Jian Su, Bin Chen et al.
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding
Sirisha Rambhatla, Zhengping Che, Yan Liu
ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs
Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan et al.
Is There a Strongest Die in a Set of Dice with the Same Mean Pips?
Shang Lu, Shuji Kijima
Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning
Lokesh Nagalapatti, Ruhi Sharma Mittal, Ramasuri Narayanam
Iterative Calculus of Voting under Plurality
Fabricio Vasselai
Iterative Contrast-Classify for Semi-supervised Temporal Action Segmentation
Dipika Singhania, Rahul Rahaman, Angela Yao
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier
Youngjo Lee, Hongje Seong, Euntai Kim
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding
Donghan Yu, Chenguang Zhu, Yiming Yang et al.
JFB: Jacobian-Free Backpropagation for Implicit Networks
Samy Wu Fung, Howard Heaton, Qiuwei Li et al.
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds
Junho Koh, Jaekyum Kim, Jin Hyeok Yoo et al.
Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections
Zhenzhang Ye, Tarun Yenamandra, Florian Bernard et al.
Joint Human Pose Estimation and Instance Segmentation with PosePlusSeg
Niaz Ahmad, Jawad Khan, Jeremy Yuhyun Kim et al.
JoTA: Aligning Multilingual Job Taxonomies through Word Embeddings (Student Abstract)
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio et al.
JPV-Net: Joint Point-Voxel Representations for Accurate 3D Object Detection
Nan Song, Tianyuan Jiang, Jian Yao
KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss
Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi
KATG: Keyword-Bias-Aware Adversarial Text Generation for Text Classification
Lingfeng Shen, Shoushan Li, Ying Chen
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
Aosong Feng, Chenyu You, Shiqiang Wang et al.
Keypoint Message Passing for Video-Based Person Re-identification
Di Chen, Andreas Doering, Shanshan Zhang et al.
KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation
Xin Liu, Dayiheng Liu, Baosong Yang et al.
KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-training
Weizhe Yuan, Pengfei Liu
Knowledge Bridging for Empathetic Dialogue Generation
Qintong Li, Piji Li, Zhaochun Ren et al.
Knowledge Compilation Meets Logical Separability
Junming Qiu, Wenqing Li, Zhanhao Xiao et al.
Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation
Gang Li, Xiang Li, Yujie Wang et al.