Bias and Generalization in Deep Generative Models: An Empirical Study

Neural Information Processing Systems (NeurIPS), 2018

8 November 2018

Papers citing "Bias and Generalization in Deep Generative Models: An Empirical Study"

50 / 85 papers shown

Title
Score-based Idempotent Distillation of Diffusion Models Shehtab Zaman Chengyan Liu Kenneth Chiu DiffM 140 0 0 25 Sep 2025
RDDPM: Robust Denoising Diffusion Probabilistic Model for Unsupervised Anomaly Segmentation Mehrdad Moradi Kamran Paynabar DiffM 128 1 0 04 Aug 2025
Concept Reachability in Diffusion Models: Beyond Dataset Constraints Marta Aparicio Rodriguez Xenia Miscouridou Anastasia Borovykh 209 0 0 25 May 2025
Simulating the Emergence of Differential Case Marking with Communicating Neural-Network Agents Yuchen Lian Arianna Bisazza Tessa Verhoef AI4CE 233 2 0 06 Feb 2025
More is Less? A Simulation-Based Approach to Dynamic Interactions between Biases in Multimodal Models Mounia Drissi 153 0 0 23 Dec 2024
Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-GuidanceNeural Information Processing Systems (NeurIPS), 2024 Jiwan Hur Dong-Jae Lee Gyojin Han Jaehyun Choi Yunho Jeon Junmo Kim DiffM 270 4 0 17 Oct 2024
Sparse Mixture-of-Experts for Compositional Generalization: Empirical Evidence and Theoretical Foundations of Optimal Sparsity Jinze Zhao Peihao Wang J. Yang Ruisi Cai Gaowen Liu Jayanth Srinivasa Ramana Rao Kompella Yingbin Liang Zinan Lin MoE 314 0 0 17 Oct 2024
PFGuard: A Generative Framework with Privacy and Fairness SafeguardsInternational Conference on Learning Representations (ICLR), 2024 Soyeon Kim Yuji Roh Geon Heo Steven Euijong Whang 271 0 0 03 Oct 2024
How Diffusion Models Learn to Factorize and ComposeNeural Information Processing Systems (NeurIPS), 2024 Qiyao Liang Ziming Liu Mitchell Ostrow Ila Fiete DiffM CoGe 201 12 0 23 Aug 2024
Not Every Image is Worth a Thousand Words: Quantifying Originality in Stable Diffusion Adi Haviv Shahar Sarfaty Uri Y. Hacohen N. Elkin-Koren Roi Livni Amit H. Bermano 205 3 0 15 Aug 2024
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain ShiftsInternational Conference on Learning Representations (ICLR), 2024 Hongjun Wang S. Vaze Kai Han 451 14 0 08 Aug 2024
Fairness and Bias Mitigation in Computer Vision: A Survey Sepehr Dehdashtian Ruozhen He Yi Li Guha Balakrishnan Nuno Vasconcelos Vicente Ordonez Vishnu Boddeti 337 11 0 05 Aug 2024
SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models for ECG generation Sergey Skorik A. Avetisyan DiffM MedIm 201 0 0 15 Jul 2024
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations Justin Deschenaux Igor Krawczuk Grigorios G. Chrysos Volkan Cevher DiffM 346 4 0 29 May 2024
StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining Tushar Kataria Beatrice Knudsen Shireen Y. Elhabian DiffM MedIm 345 16 0 17 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Kushagra Pandey Robert Bamler Sina Daubener ... Yixin Wang F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin 720 40 0 28 Feb 2024
FairWire: Fair Graph Generation O. Deniz Kose Yanning Shen 268 8 0 06 Feb 2024
Do Diffusion Models Learn Semantically Meaningful and Efficient Representations? Qiyao Liang Ziming Liu Ila Fiete DiffM 267 2 0 05 Feb 2024
Deep Generative Models for Detector Signature Simulation: A Taxonomic ReviewReviews in Physics (RP), 2023 Baran Hashemi Claudius Krause 314 23 0 15 Dec 2023
Conditional Stochastic Interpolation for Generative Learning Ding Huang Jian Huang Ting Li Guohao Shen BDL DiffM 291 6 0 09 Dec 2023
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World ModelsNeural Information Processing Systems (NeurIPS), 2023 Yeongbin Kim Gautam Singh Junyeong Park Çağlar Gülçehre Sungjin Ahn OCL VLM 222 7 0 15 Nov 2023
Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-TuningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Jiwan Hur Jaehyun Choi Gyojin Han Dong-Jae Lee Junmo Kim 227 10 0 02 Nov 2023
Addressing GAN Training Instabilities via Tunable Classification LossesIEEE Journal on Selected Areas in Information Theory (JSAIT), 2023 Monica Welfert Gowtham R. Kurri Kyle Otstot Lalitha Sankar 182 18 0 27 Oct 2023
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic TaskNeural Information Processing Systems (NeurIPS), 2023 Maya Okawa Ekdeep Singh Lubana Robert P. Dick Hidenori Tanaka CoGe DiffM 465 81 0 13 Oct 2023
Echocardiography video synthesis from end diastolic semantic map via diffusion modelIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Nguyen Van Phi Tran Minh Duc Hieu H. Pham Tran Quoc Long DiffM MedIm VGen 157 9 0 11 Oct 2023
Efficient-VQGAN: Towards High-Resolution Image Generation with Efficient Vision TransformersIEEE International Conference on Computer Vision (ICCV), 2023 Shiyue Cao Yueqin Yin Lianghua Huang Yu Liu Xin Zhao Deli Zhao Kaiqi Huang ViT 248 29 0 09 Oct 2023
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey Yunhao Chen Zihui Yan Yunjie Zhu 246 5 0 30 Sep 2023
Distilling ODE Solvers of Diffusion Models into Smaller StepsComputer Vision and Pattern Recognition (CVPR), 2023 Sanghwan Kim Hao Tang Fisher Yu 190 8 0 28 Sep 2023
ITI-GEN: Inclusive Text-to-Image GenerationIEEE International Conference on Computer Vision (ICCV), 2023 Cheng Zhang Xuanbai Chen Siqi Chai Chen Henry Wu Dmitry Lagun Thabo Beeler Fernando de la Torre VLM 211 75 0 11 Sep 2023
Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization Tao Yang Yuwang Wang Cuiling Lan Yan Lu Nanning Zheng OCL CoGe DRL 203 7 0 29 May 2023
CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing Songyang Gao Jiajun Sun Junjie Shan Tao Gui Xuanjing Huang CML 133 0 0 04 May 2023
Supporting Human-AI Collaboration in Auditing LLMs with LLMsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023 Charvi Rastogi Marco Tulio Ribeiro Nicholas King Harsha Nori Saleema Amershi ALM 230 87 0 19 Apr 2023
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationIEEE Transactions on Medical Imaging (TMI), 2023 Q. Gao Zilong Li Junping Zhang Yi Zhang Hongming Shan DiffM MedIm 253 107 0 04 Apr 2023
A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative ModelsCommunications Physics (Commun. Phys.), 2023 Mohamed Hibat-Allah M. Mauri Juan Carrasquilla A. Perdomo-Ortiz 175 41 0 27 Mar 2023
Data Augmentation for Environmental Sound Classification Using Diffusion Probabilistic Model with Top-k Selection DiscriminatorInternational Conference on Intelligent Computing (ICIC), 2023 Yunhao Chen Yunjie Zhu Zihui Yan Jian Shen Zhen Ren Yifan Huang DiffM 204 9 0 27 Mar 2023
Can neural networks do arithmetic? A survey on the elementary numerical skills of state-of-the-art deep learning modelsApplied Sciences (Appl. Sci.), 2023 Alberto Testolin AIMat 192 25 0 14 Mar 2023
TrojDiff: Trojan Attacks on Diffusion Models with Diverse TargetsComputer Vision and Pattern Recognition (CVPR), 2023 Weixin Chen Basel Alomair Yue Liu DiffM 237 98 0 10 Mar 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases Aengus Lynch G. Dovonon Jean Kaddour Ricardo M. A. Silva 515 39 0 09 Mar 2023
How Generative AI models such as ChatGPT can be (Mis)Used in SPC Practice, Education, and Research? An Exploratory StudyQuality Engineering (QE), 2023 Fadel M. Megahed Ying-Ju Chen Joshua A. Ferris S. Knoth L. A. Jones‐Farmer 178 147 0 17 Feb 2023
Star-Shaped Denoising Diffusion Probabilistic ModelsNeural Information Processing Systems (NeurIPS), 2023 Andrey Okhotin Dmitry Molchanov V. Arkhipkin Grigory Bartosh Viktor Ohanesian Aibek Alanov Dmitry Vetrov DiffM 236 17 0 10 Feb 2023
A supplemental investigation of non-linearity in quantum generative models with respect to simulatability and optimization Kaitlin Gili Rohan S. Kumar Mykolas Sveistrys C. Ballance 180 3 0 01 Feb 2023
Communication Drives the Emergence of Language Universals in Neural Agents: Evidence from the Word-order/Case-marking Trade-offTransactions of the Association for Computational Linguistics (TACL), 2023 Yuchen Lian Arianna Bisazza Tessa Verhoef 259 11 0 30 Jan 2023
Towards Better Long-range Time Series Forecasting using Generative Forecasting Shiyu Liu Rohan Ghosh Mehul Motani AI4TS 248 3 0 09 Dec 2022
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling J. Nam Sangwoo Mo Jaeho Lee Jinwoo Shin 285 7 0 05 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize onNeural Information Processing Systems (NeurIPS), 2022 Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 330 11 0 01 Dec 2022
Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach Dong Chen Xinda Qi Yu Zheng Yuzhen Lu Zhao Li DiffM 213 15 0 18 Oct 2022
Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2 Ali Borji DiffM 357 157 0 02 Oct 2022
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent LanguageNeural Information Processing Systems (NeurIPS), 2022 Zhenlin Xu Marc Niethammer Colin Raffel CoGe OOD OCL DRL 301 49 0 02 Oct 2022
Implementing and Experimenting with Diffusion Models for Text-to-Image Generation Robin Zbinden 107 5 0 22 Sep 2022
Accelerating Diffusion Models via Early Stop of the Diffusion Process Zhaoyang Lyu Xu Xudong Ceyuan Yang Dahua Lin Bo Dai DiffM 473 123 0 25 May 2022