Papers
I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection
Hongwei Zhu, Peng Li, Haoran Xie et al.
iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection
Ramneet Kaur, Susmit Jha, Anirban Roy et al.
Identifiability of Linear AMP Chain Graph Models
Yuhao Wang, Arnab Bhattacharyya
Identification of Linear Latent Variable Model with Arbitrary Distribution
Zhengming Chen, Feng Xie, Jie Qiao et al.
Identifying ATT&CK Tactics in Android Malware Control Flow Graph through Graph Representation Learning and Interpretability (Student Abstract)
Jeffrey Fairbanks, Andres Orbe, Christine Patterson et al.
Identifying Early Warning Signals from News Using Network Community Detection
Nataliya Le Vine, Eric Boxer, Mustafa Dinani et al.
Idiomatic Expression Paraphrasing without Strong Supervision
Jianing Zhou, Ziheng Zeng, Hongyu Gong et al.
“I Don’t Think So”: Summarizing Policy Disagreements for Agent Comparison
Yotam Amitai, Ofra Amir
iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control
Xiaoyan Cao, Yao Yao, Lanqing Li et al.
Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions
Wenyu Liu, Gaofeng Ren, Runsheng Yu et al.
Image Difference Captioning with Pre-training and Contrastive Learning
Linli Yao, Weiying Wang, Qin Jin
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification
Xiaohua Chen, Yucan Zhou, Dayan Wu et al.
Imbalance-Aware Uplift Modeling for Observational Data
Xuanying Chen, Zhining Liu, Li Yu et al.
Implicit Gradient Alignment in Distributed and Federated Learning
Yatin Dandi, Luis Barba, Martin Jaggi
Improved Gradient-Based Adversarial Attacks for Quantized Networks
Kartik Gupta, Thalaiyasingam Ajanthan
Improved Maximin Guarantees for Subadditive and Fractionally Subadditive Fair Allocation Problem
Masoud Seddighin, Saeed Seddighin
Improved Text Classification via Contrastive Adversarial Training
Lin Pan, Chung-Wei Hang, Avirup Sil et al.
Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-Supervised Learning
Ilwi Yun, Hyuk-Jae Lee, Chae Eun Rhee
Improving Bayesian Neural Networks by Adversarial Sampling
Jiaru Zhang, Yang Hua, Tao Song et al.
Improving Biomedical Information Retrieval with Neural Retrievers
Man Luo, Arindam Mitra, Tejas Gokhale et al.
Improving Evidential Deep Learning via Multi-Task Learning
Dongpin Oh, Bonggun Shin
Improving Human-Object Interaction Detection via Phrase Learning and Label Composition
Zhimin Li, Cheng Zou, Yu Zhao et al.
Improving Local Search Algorithms via Probabilistic Configuration Checking
Weilin Luo, Rongzhen Ye, Hai Wan et al.
Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation
Thong Thanh Nguyen, Anh Tuan Luu
Improving Scene Graph Classification by Exploiting Knowledge from Texts
Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt et al.