Unsupervised Learning of Compositional Energy Concepts

Neural Information Processing Systems (NeurIPS), 2021

4 November 2021

Shuang Li

Papers citing "Unsupervised Learning of Compositional Energy Concepts"

50 / 61 papers shown

Title
Disentangled Representation Learning via Modular Compositional Bias Whie Jung Dong Hoon Lee Seunghoon Hong DRL OCL CoGe 553 0 0 24 Oct 2025
Compositional Scene Understanding through Inverse Generative Modeling Yanbo Wang Justin Dauwels Yilun Du OCL 479 1 0 27 May 2025
Surgical Foundation Model Leveraging Compression and Entropy Maximization for Image-Guided Surgical Assistance Lianhao Yin O. Meireles Guy Rosman Daniela Rus 125 0 0 16 May 2025
Sparse Autoencoder as a Zero-Shot Classifier for Concept Erasing in Text-to-Image Diffusion Models Zhihua Tian Sirun Nan Ming Xu Shengfang Zhai Wenjie Qu Enchao Gong Kui Ren Ruoxi Jia DiffM 328 4 0 12 Mar 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic InterpretationsInternational Conference on Learning Representations (ICLR), 2024 Xin-Chao Xu Yi Qin Lu Mi Hao Wang Xuelong Li 504 28 0 03 Jan 2025
Few-Shot Task Learning through Inverse Generative ModelingNeural Information Processing Systems (NeurIPS), 2024 Aviv Netanyahu Yilun Du Antonia Bronars Jyothish Pari J. Tenenbaum Tianmin Shu Pulkit Agrawal 404 4 0 07 Nov 2024
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion ModelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Youngjun Jun Jiwoo Park Kyobin Choo Tae Eun Choi Seong Jae Hwang CoGe 300 2 0 31 Oct 2024
LoRD: Adapting Differentiable Driving Policies to Distribution ShiftsIEEE International Conference on Robotics and Automation (ICRA), 2024 Christopher P. Diehl Peter Karkus Sushant Veer Marco Pavone Torsten Bertram 950 3 0 13 Oct 2024
Swing-by Dynamics in Concept Learning and Compositional GeneralizationInternational Conference on Learning Representations (ICLR), 2024 Yongyi Yang Core Francisco Park Ekdeep Singh Lubana Maya Okawa Wei Hu Hidenori Tanaka CoGe DiffM 234 0 0 10 Oct 2024
Compositional Risk Minimization Divyat Mahajan Mohammad Pezeshki Charles Arnal Alexia Jolicoeur-Martineau Kartik Ahuja Pascal Vincent 388 9 0 08 Oct 2024
EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized VectorsAsian Conference on Computer Vision (ACCV), 2024 Sangwon Kim Dasom Ahn B. Ko In-su Jang Kwang-Ju Kim 271 6 0 22 Sep 2024
SlotLifter: Slot-guided Feature Lifting for Learning Object-centric Radiance FieldsEuropean Conference on Computer Vision (ECCV), 2024 Yu Liu Baoxiong Jia Yixin Chen Siyuan Huang OCL 269 7 0 13 Aug 2024
Compositional Image Decomposition with Diffusion Models Jocelin Su Nan Liu Yanbo Wang Joshua B. Tenenbaum Yilun Du CoGe 183 10 0 27 Jun 2024
Cognitively Inspired Energy-Based World Models Alexi Gladstone Ganesh Nanduru Md. Mofijul Islam Vasu Sharma Jundong Li Tariq Iqbal 164 0 0 13 Jun 2024
Learning Discrete Concepts in Latent Hierarchical Models Lingjing Kong Guan-Hong Chen Erdun Gao Eric P. Xing Yuejie Chi Kun Zhang 324 12 0 01 Jun 2024
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations Justin Deschenaux Igor Krawczuk Grigorios G. Chrysos Volkan Cevher DiffM 314 4 0 29 May 2024
RoboDreamer: Learning Compositional World Models for Robot Imagination Siyuan Zhou Yilun Du Jiaben Chen Yandong Li Dit-Yan Yeung Chuang Gan VGen LM&Ro 254 93 0 18 Apr 2024
Bridging Associative Memory and Probabilistic Modeling Rylan Schaeffer Nika Zahedi Mikail Khona Dhruv Pai Sang T. Truong ... Sarthak Chandra Andres Carranza Ila Rani Fiete Andrey Gromov Oluwasanmi Koyejo DiffM 263 4 0 15 Feb 2024
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement Tao Yang Cuiling Lan Yan Lu Nanning Zheng DiffM 279 16 0 15 Feb 2024
Binding Dynamics in Rotating Features Sindy Löwe Francesco Locatello Max Welling OCL 170 4 0 08 Feb 2024
Do Diffusion Models Learn Semantically Meaningful and Efficient Representations? Qiyao Liang Ziming Liu Ila Fiete DiffM 259 2 0 05 Feb 2024
Compositional Generative Modeling: A Single Model is Not All You Need Yilun Du L. Kaelbling PINN GAN 356 40 0 02 Feb 2024
One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications Mengyao Lyu Yuhong Yang Haiwen Hong Hui Chen Xuan Jin Yuan He Hui Xue Jungong Han Guiguang Ding DiffM 279 104 0 26 Dec 2023
Benchmarking and Analysis of Unsupervised Object Segmentation from Real-world Single ImagesInternational Journal of Computer Vision (IJCV), 2023 Yafei Yang Bo Yang OCL 144 4 0 08 Dec 2023
Inferring Relational Potentials in Interacting SystemsInternational Conference on Machine Learning (ICML), 2023 Armand Comas Massagu´e Yilun Du Christian Fernández S. Ghimire Octavia Camps J. Tenenbaum Mario Sznaier 244 6 0 23 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 425 81 0 13 Oct 2023
Self-supervised Object-Centric Learning for VideosNeural Information Processing Systems (NeurIPS), 2023 Görkay Aydemir Weidi Xie Fatma Guney OCL VOS SSL 209 39 0 10 Oct 2023
Structural Adversarial Objectives for Self-Supervised Representation Learning Xiao Zhang Michael Maire 342 2 0 30 Sep 2023
Compositional Sculpting of Iterative Generative ProcessesNeural Information Processing Systems (NeurIPS), 2023 Yixuan Wang Sebastiaan De Peuter Mingtong Zhang Vikas Garg Samuel Kaski Tommi Jaakkola DiffM 293 20 0 28 Sep 2023
Human Inspired Progressive Alignment and Comparative Learning for Grounded Word AcquisitionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Yuwei Bao B. Lattimer J. Chai CLL 222 1 0 05 Jul 2023
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative ModelsIEEE International Conference on Computer Vision (ICCV), 2023 Nan Liu Yilun Du Shuang Li J. Tenenbaum Antonio Torralba DiffM CoGe 231 30 0 08 Jun 2023
Probabilistic Adaptation of Text-to-Video Models Mengjiao Yang Yilun Du Bo Dai Dale Schuurmans J. Tenenbaum Pieter Abbeel VGen DiffM 217 31 0 02 Jun 2023
StyleDrop: Text-to-Image Generation in Any Style Kihyuk Sohn Nataniel Ruiz Kimin Lee Daniel Castro Chin Irina Blok ... Yuanzhen Li Yuan Hao Irfan Essa Michael Rubinstein Dilip Krishnan 202 200 0 01 Jun 2023
Rotating Features for Object DiscoveryNeural Information Processing Systems (NeurIPS), 2023 Sindy Löwe Phillip Lippe Francesco Locatello Max Welling OCL 324 32 0 01 Jun 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 187 7 0 29 May 2023
Im-Promptu: In-Context Composition from Image PromptsNeural Information Processing Systems (NeurIPS), 2023 Bhishma Dedhia Michael Chang Jake C. Snell Thomas Griffiths N. Jha LRM MLLM 265 4 0 26 May 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution DetectionInternational Conference on Machine Learning (ICML), 2023 Marc Lafon Elias Ramzi Clément Rambour Nicolas Thome OODD 325 12 0 26 May 2023
Object-Centric Slot DiffusionNeural Information Processing Systems (NeurIPS), 2023 Jindong Jiang Fei Deng Gautam Singh S. Ahn DiffM BDL OCL 494 74 0 20 Mar 2023
Erasing Concepts from Diffusion ModelsIEEE International Conference on Computer Vision (ICCV), 2023 Rohit Gandikota Joanna Materzyñska Jaden Fiotto-Kaufman David Bau DiffM 369 410 0 13 Mar 2023
Geometry of Score Based Generative Models S. Ghimire Jinyang Liu Armand Comas Massague Davin Hill A. Masoomi Mario Sznaier Jennifer Dy DiffM 211 9 0 09 Feb 2023
Concept Algebra for (Score-Based) Text-Controlled Generative ModelsNeural Information Processing Systems (NeurIPS), 2023 Zihao Wang Lin Gui Jeffrey Negrea Victor Veitch CoGe DiffM 431 57 0 07 Feb 2023
Divide and Compose with Score Based Generative Models S. Ghimire Armand Comas Davin Hill A. Masoomi Mario Sznaier Jennifer Dy DiffM 165 0 0 05 Feb 2023
Energy-Inspired Self-Supervised Pretraining for Vision ModelsInternational Conference on Learning Representations (ICLR), 2023 Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 201 9 0 02 Feb 2023
Versatile Energy-Based Probabilistic Models for High Energy PhysicsNeural Information Processing Systems (NeurIPS), 2023 Taoli Cheng Aaron Courville DiffM 348 1 0 01 Feb 2023
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic ModelsNeural Information Processing Systems (NeurIPS), 2023 Tao Yang Yuwang Wang Yan Lv Nanning Zh DiffM 417 31 0 31 Jan 2023
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor FieldsConference on Robot Learning (CoRL), 2022 Anthony Simeonov Yilun Du Lin Yen-Chen Alberto Rodriguez L. Kaelbling Tomas Lozano-Perez Pulkit Agrawal 187 66 0 17 Nov 2022
Neural Systematic BinderInternational Conference on Learning Representations (ICLR), 2022 Gautam Singh Yeongbin Kim Sungjin Ahn OCL 349 42 0 02 Nov 2022
Learning Explicit Object-Centric Representations with Vision Transformers Oscar Vikström Alexander Ilin OCL ViT 185 5 0 25 Oct 2022
Improving Object-centric Learning with Query OptimizationInternational Conference on Learning Representations (ICLR), 2022 Baoxiong Jia Yu Liu Siyuan Huang OCL 213 61 0 17 Oct 2022
Robust and Controllable Object-Centric Learning through Energy-based ModelsInternational Conference on Learning Representations (ICLR), 2022 Ruixiang Zhang Tong Che Boris Ivanovic Renhao Wang Marco Pavone Yoshua Bengio Liam Paull OCL 270 9 0 11 Oct 2022