Papers
Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize
Xinyi Hu, Jasper Lee, Jimmy Lee et al.
Breaking Bad: A Dataset for Geometric Fracture and Reassembly
Silvia Sellán, Yun-Chun Chen, Ziyi Wu et al.
Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor
Yuqiao Liu, Yehui Tang, Zeqiong Lv et al.
Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms
Alireza Fallah, Ali Makhdoumi, azarakhsh malekian et al.
Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection
Hanoona Bangalath, Muhammad Maaz, Muhammad Uzair Khattak et al.
Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets
Zhiying Lu, Hongtao Xie, Chuanbin Liu et al.
Bridging the Gap from Asymmetry Tricks to Decorrelation Principles in Non-contrastive Self-supervised Learning
Kang-Jun Liu, Masanori Suganuma, Takayuki Okatani
Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers
Nathan Tsoi, Kate Candon, Deyuan Li et al.
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens
Elad Ben Avraham, Roei Herzig, Karttikeya Mangalam et al.
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization
Liang Zhang, Kiran K Thekumparampil, Sewoong Oh et al.
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints
Justin Whitehouse, Aaditya Ramdas, Steven Z. Wu et al.
BR-SNIS: Bias Reduced Self-Normalized Importance Sampling
Gabriel Cardoso, Sergey Samsonov, Achille Thin et al.
BYOL-Explore: Exploration by Bootstrapped Prediction
Zhaohan Guo, Shantanu Thakoor, Miruna Pislar et al.
Byzantine Spectral Ranking
Arnhav Datar, Arun Rajkumar, John Augustine
Byzantine-tolerant federated Gaussian process regression for streaming data
Xu Zhang, Zhenyuan Yuan, Minghui Zhu
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting
Shane Bergsma, Tim Zeyl, Javad Rahimipour Anaraki et al.
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever
Jin Chen, Defu Lian, Yucheng Li et al.
CAESAR: An Embodied Simulator for Generating Multimodal Referring Expression Datasets
Md Mofijul Islam, Reza Mirzaiee, Alexi Gladstone et al.
CageNeRF: Cage-based Neural Radiance Field for Generalized 3D Deformation and Animation
Yicong Peng, Yichao Yan, Shengqi Liu et al.
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds
Haiyang Wang, Lihe Ding, Shaocong Dong et al.
CalFAT: Calibrated Federated Adversarial Training with Label Skewness
Chen Chen, Yuchen Liu, Xingjun Ma et al.
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees
Songkai Xue, Yuekai Sun, Mikhail Yurochkin
Can Adversarial Training Be Manipulated By Non-Robust Features?
Lue Tao, Lei Feng, Hongxin Wei et al.
Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?
Yimeng Min, Frederik Wenkel, Michael Perlmutter et al.
Can Push-forward Generative Models Fit Multimodal Distributions?
Antoine Salmona, Valentin De Bortoli, Julie Delon et al.