Saved in:
| Main Authors: | Gong, Yanxiang, Xie, Zhiwei, Duan, Guozhen, Ma, Zheng, Xie, Mei |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2212.01521 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HingeRLC-GAN: Combating Mode Collapse with Hinge Loss and RLC Regularization
by: Goni, Osman, et al.
Published: (2025)
by: Goni, Osman, et al.
Published: (2025)
A Dual-Agent Adversarial Framework for Robust Generalization in Deep Reinforcement Learning
by: Xie, Zhengpeng, et al.
Published: (2025)
by: Xie, Zhengpeng, et al.
Published: (2025)
A2RBench: An Automatic Paradigm for Formally Verifiable Abstract Reasoning Benchmark Generation
by: Ma, Qingchuan, et al.
Published: (2026)
by: Ma, Qingchuan, et al.
Published: (2026)
Space Alignment Matters: The Missing Piece for Inducing Neural Collapse in Long-Tailed Learning
by: Wang, Jinping, et al.
Published: (2025)
by: Wang, Jinping, et al.
Published: (2025)
LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios
by: Peng, Mingxing, et al.
Published: (2025)
by: Peng, Mingxing, et al.
Published: (2025)
Rethinking Adversarial Attacks in Reinforcement Learning from Policy Distribution Perspective
by: Duan, Tianyang, et al.
Published: (2025)
by: Duan, Tianyang, et al.
Published: (2025)
Representational Alignment with Chemical Induced Fit for Molecular Relational Learning
by: Zhang, Peiliang, et al.
Published: (2025)
by: Zhang, Peiliang, et al.
Published: (2025)
Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View
by: Wang, Jinping, et al.
Published: (2026)
by: Wang, Jinping, et al.
Published: (2026)
HealSplit: Towards Self-Healing through Adversarial Distillation in Split Federated Learning
by: Xie, Yuhan, et al.
Published: (2025)
by: Xie, Yuhan, et al.
Published: (2025)
A Theory of Time-Sensitive Language Generation: Sparse Hallucination Beats Mode Collapse
by: Ganju, Atul, et al.
Published: (2026)
by: Ganju, Atul, et al.
Published: (2026)
Towards Initialization-dependent and Non-vacuous Generalization Bounds for Overparameterized Shallow Neural Networks
by: Lei, Yunwen, et al.
Published: (2026)
by: Lei, Yunwen, et al.
Published: (2026)
MoCo-EA: Exploiting Adversarial Mode Connectivity for Efficient Evolutionary Attacks
by: Kim, Hyo Seo, et al.
Published: (2026)
by: Kim, Hyo Seo, et al.
Published: (2026)
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
by: Weng, Wenchao, et al.
Published: (2024)
by: Weng, Wenchao, et al.
Published: (2024)
OPBench: A Graph Benchmark to Combat the Opioid Crisis
by: Ma, Tianyi, et al.
Published: (2026)
by: Ma, Tianyi, et al.
Published: (2026)
Combating Spurious Correlations in Graph Interpretability via Self-Reflection
by: Cai, Kecheng, et al.
Published: (2026)
by: Cai, Kecheng, et al.
Published: (2026)
Combating the Bucket Effect:Multi-Knowledge Alignment for Medication Recommendation
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Adversarial Attacks to Latent Representations of Distributed Neural Networks in Split Computing
by: Zhang, Milin, et al.
Published: (2023)
by: Zhang, Milin, et al.
Published: (2023)
On the Limits of Language Generation: Trade-Offs Between Hallucination and Mode Collapse
by: Kalavasis, Alkis, et al.
Published: (2024)
by: Kalavasis, Alkis, et al.
Published: (2024)
rETF-semiSL: Semi-Supervised Learning for Neural Collapse in Temporal Data
by: Xie, Yuhan, et al.
Published: (2025)
by: Xie, Yuhan, et al.
Published: (2025)
Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications
by: Zhang, Yanxiang, et al.
Published: (2025)
by: Zhang, Yanxiang, et al.
Published: (2025)
Fitting Multilinear Polynomials for Logic Gate Networks
by: Kim, Youngsung
Published: (2026)
by: Kim, Youngsung
Published: (2026)
On the Adversarial Transferability of Generalized "Skip Connections"
by: Wang, Yisen, et al.
Published: (2024)
by: Wang, Yisen, et al.
Published: (2024)
Generative Adversarial Evasion and Out-of-Distribution Detection for UAV Cyber-Attacks
by: Panda, Deepak Kumar, et al.
Published: (2025)
by: Panda, Deepak Kumar, et al.
Published: (2025)
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
by: Xie, Yong, et al.
Published: (2024)
by: Xie, Yong, et al.
Published: (2024)
Causal-Aware Generative Adversarial Networks with Reinforcement Learning
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)
Generative Adversarial Networks for Imputing Sparse Learning Performance
by: Zhang, Liang, et al.
Published: (2024)
by: Zhang, Liang, et al.
Published: (2024)
Adaptive Individual Uncertainty under Out-Of-Distribution Shift with Expert-Routed Conformal Prediction
by: Badkul, Amitesh, et al.
Published: (2025)
by: Badkul, Amitesh, et al.
Published: (2025)
UniAlign: A Model-Agnostic Framework for Robust Network Traffic Classification under Distribution Shifts
by: Wang, Tongze, et al.
Published: (2026)
by: Wang, Tongze, et al.
Published: (2026)
Expected Return Causes Outcome-Level Mode Collapse in Reinforcement Learning and How to Fix It with Inverse Probability Scaling
by: Sinha, Abhijeet, et al.
Published: (2026)
by: Sinha, Abhijeet, et al.
Published: (2026)
Fitness aligned structural modeling enables scalable virtual screening with AuroBind
by: Zhang, Zhongyue, et al.
Published: (2025)
by: Zhang, Zhongyue, et al.
Published: (2025)
One Size Does Not Fit All: A Distribution-Aware Sparsification for More Precise Model Merging
by: Luo, Yingfeng, et al.
Published: (2025)
by: Luo, Yingfeng, et al.
Published: (2025)
DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing Conditional Generative Adversarial Networks
by: Squires, Matthew, et al.
Published: (2024)
by: Squires, Matthew, et al.
Published: (2024)
Adversarial Generative Flow Network for Solving Vehicle Routing Problems
by: Zhang, Ni, et al.
Published: (2025)
by: Zhang, Ni, et al.
Published: (2025)
Improvement of AMPs Identification with Generative Adversarial Network and Ensemble Classification
by: Keshavarzpour, Reyhaneh, et al.
Published: (2025)
by: Keshavarzpour, Reyhaneh, et al.
Published: (2025)
ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation
by: EskandariNasab, MohammadReza, et al.
Published: (2024)
by: EskandariNasab, MohammadReza, et al.
Published: (2024)
Learning Novel Skills from Language-Generated Demonstrations
by: Jin, Ao-Qun, et al.
Published: (2024)
by: Jin, Ao-Qun, et al.
Published: (2024)
Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning
by: Zhang, Ruiqi, et al.
Published: (2024)
by: Zhang, Ruiqi, et al.
Published: (2024)
TabKANet: Tabular Data Modeling with Kolmogorov-Arnold Network and Transformer
by: Gao, Weihao, et al.
Published: (2024)
by: Gao, Weihao, et al.
Published: (2024)
Dominating vs. Dominated: Generative Collapse in Diffusion Models
by: Jeong, Hayeon, et al.
Published: (2025)
by: Jeong, Hayeon, et al.
Published: (2025)
GEM-T: Generative Tabular Data via Fitting Moments
by: Li, Miao, et al.
Published: (2025)
by: Li, Miao, et al.
Published: (2025)
Similar Items
-
HingeRLC-GAN: Combating Mode Collapse with Hinge Loss and RLC Regularization
by: Goni, Osman, et al.
Published: (2025) -
A Dual-Agent Adversarial Framework for Robust Generalization in Deep Reinforcement Learning
by: Xie, Zhengpeng, et al.
Published: (2025) -
A2RBench: An Automatic Paradigm for Formally Verifiable Abstract Reasoning Benchmark Generation
by: Ma, Qingchuan, et al.
Published: (2026) -
Space Alignment Matters: The Missing Piece for Inducing Neural Collapse in Long-Tailed Learning
by: Wang, Jinping, et al.
Published: (2025) -
LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios
by: Peng, Mingxing, et al.
Published: (2025)