Papers
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack
Tian Yu Liu, Yu Yang, Baharan Mirzasoleiman
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent
Christopher M De Sa, Satyen Kale, Jason Lee et al.
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images
Zhi Tian, Xiangxiang Chu, Xiaoming Wang et al.
Fully Sparse 3D Object Detection
Lue Fan, Feng Wang, Naiyan Wang et al.
Functional Ensemble Distillation
Coby Penso, Idan Achituve, Ethan Fetaya
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization
Kha Pham, Thai Hung Le, Man Ngo et al.
Function Classes for Identifiable Nonlinear Independent Component Analysis
Simon Buchholz, Michel Besserve, Bernhard Schölkopf
Fused Orthogonal Alternating Least Squares for Tensor Clustering
Jiacheng Wang, Dan Nicolae
Fuzzy Learning Machine
Junbiao Cui, Jiye Liang
GAGA: Deciphering Age-path of Generalized Self-paced Regularizer
Xingyu Qu, Diyang Li, Xiaohan Zhao et al.
GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations
Enmao Diao, Jie Ding, Vahid Tarokh
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis
Yushi Cao, Zhiming Li, Tianpei Yang et al.
GAMA: Generative Adversarial Multi-Object Scene Attacks
Abhishek Aich, Calvin-Khang Ta, Akash Gupta et al.
GAPX: Generalized Autoregressive Paraphrase-Identification X
Yifei Zhou, Renyu Li, Hayden Housen et al.
GAR: Generalized Autoregression for Multi-Fidelity Fusion
Yuxin Wang, Zheng Xing, WEI XING
GAUDI: A Neural Architect for Immersive 3D Scene Generation
Miguel Angel Bautista, Pengsheng Guo, Samira Abnar et al.
Gaussian Copula Embeddings
Chien Lu, Jaakko Peltonen
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models
Wenbo Su, Yuanxing Zhang, Yufeng Cai et al.
General Cutting Planes for Bound-Propagation-Based Neural Network Verification
Huan Zhang, Shiqi Wang, Kaidi Xu et al.
Generalised Implicit Neural Representations
Daniele Grattarola, Pierre Vandergheynst
Generalised Mutual Information for Discriminative Clustering
Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron et al.
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
Sohir Maskey, Ron Levie, Yunseok Lee et al.
Generalization Analysis on Learning with a Concurrent Verifier
Masaaki Nishino, Kengo Nakamura, Norihito Yasuda
Generalization Bounds for Estimating Causal Effects of Continuous Treatments
Xin Wang, Shengfei Lyu, Xingyu Wu et al.
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior
Xuanyuan Luo, Bei Luo, Jian Li