Unsupervised Learning of Compositional Energy Concepts

4 November 2021

Shuang Li

Papers citing "Unsupervised Learning of Compositional Energy Concepts"

50 / 61 papers shown

Title
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 Jian Liu Kui Ren Ruoxi Jia Jiaheng Zhang DiffM 85 1 0 12 Mar 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations Xin-Chao Xu Yi Qin Lu Mi Hao Wang X. Li 74 9 0 03 Jan 2025
Few-Shot Task Learning through Inverse Generative Modeling Aviv Netanyahu Yilun Du Antonia Bronars Jyothish Pari J. Tenenbaum Tianmin Shu Pulkit Agrawal 44 1 0 07 Nov 2024
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models Youngjun Jun Jiwoo Park Kyobin Choo Tae Eun Choi Seong Jae Hwang CoGe 41 0 0 31 Oct 2024
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts Christopher P. Diehl Peter Karkus Sushant Veer Marco Pavone Torsten Bertram 117 0 0 13 Oct 2024
Compositional Risk Minimization Divyat Mahajan Mohammad Pezeshki Ioannis Mitliagkas Kartik Ahuja Pascal Vincent Pascal Vincent 26 3 0 08 Oct 2024
EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized Vectors Sangwon Kim Dasom Ahn B. Ko In-su Jang Kwang-Ju Kim 22 4 0 22 Sep 2024
SlotLifter: Slot-guided Feature Lifting for Learning Object-centric Radiance Fields Yu Liu Baoxiong Jia Yixin Chen Siyuan Huang OCL 33 4 0 13 Aug 2024
Compositional Image Decomposition with Diffusion Models Jocelin Su Nan Liu Yanbo Wang Joshua B. Tenenbaum Yilun Du CoGe 39 6 0 27 Jun 2024
Cognitively Inspired Energy-Based World Models Alexi Gladstone Ganesh Nanduru Md. Mofijul Islam Aman Chadha Jundong Li Tariq Iqbal 31 0 0 13 Jun 2024
Learning Discrete Concepts in Latent Hierarchical Models Lingjing Kong Guan-Hong Chen Biwei Huang Eric P. Xing Yuejie Chi Kun Zhang 52 4 0 01 Jun 2024
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations Justin Deschenaux Igor Krawczuk Grigorios G. Chrysos V. Cevher DiffM 44 3 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 71 29 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 43 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 20 6 0 15 Feb 2024
Binding Dynamics in Rotating Features Sindy Lowe Francesco Locatello Max Welling OCL 18 2 0 08 Feb 2024
Do Diffusion Models Learn Semantically Meaningful and Efficient Representations? Qiyao Liang Ziming Liu Ila Fiete DiffM 13 2 0 05 Feb 2024
Compositional Generative Modeling: A Single Model is Not All You Need Yilun Du L. Kaelbling PINN GAN 51 20 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 21 55 0 26 Dec 2023
Benchmarking and Analysis of Unsupervised Object Segmentation from Real-world Single Images Yafei Yang Bo Yang OCL 32 2 0 08 Dec 2023
Inferring Relational Potentials in Interacting Systems Armand Comas Massagu´e Yilun Du Christian Fernández S. Ghimire M. Sznaier J. Tenenbaum Octavia Camps 32 4 0 23 Oct 2023
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task Maya Okawa Ekdeep Singh Lubana Robert P. Dick Hidenori Tanaka CoGe DiffM 35 45 0 13 Oct 2023
Self-supervised Object-Centric Learning for Videos Görkay Aydemir Weidi Xie Fatma Guney OCL VOS SSL 28 24 0 10 Oct 2023
Structural Adversarial Objectives for Self-Supervised Representation Learning Xiao Zhang Michael Maire 11 0 0 30 Sep 2023
Compositional Sculpting of Iterative Generative Processes Yixuan Wang Sebastiaan De Peuter Mingtong Zhang Vikas K. Garg Samuel Kaski Tommi Jaakkola DiffM 24 15 0 28 Sep 2023
Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition Yuwei Bao B. Lattimer J. Chai CLL 32 1 0 05 Jul 2023
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models Nan Liu Yilun Du Shuang Li J. Tenenbaum Antonio Torralba DiffM CoGe 6 24 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 40 24 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 9 141 0 01 Jun 2023
Rotating Features for Object Discovery Sindy Lowe Phillip Lippe Francesco Locatello Max Welling OCL 22 21 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 24 7 0 29 May 2023
Im-Promptu: In-Context Composition from Image Prompts Bhishma Dedhia Michael Chang Jake C. Snell Thomas L. Griffiths N. Jha LRM MLLM 29 1 0 26 May 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Elias Ramzi Clément Rambour Nicolas Thome OODD 19 10 0 26 May 2023
Object-Centric Slot Diffusion Jindong Jiang Fei Deng Gautam Singh S. Ahn DiffM BDL OCL 22 56 0 20 Mar 2023
Erasing Concepts from Diffusion Models Rohit Gandikota Joanna Materzyñska Jaden Fiotto-Kaufman David Bau DiffM 22 282 0 13 Mar 2023
Geometry of Score Based Generative Models S. Ghimire Jinyang Liu Armand Comas Massague Davin Hill A. Masoomi Octavia Camps Jennifer Dy DiffM 33 8 0 09 Feb 2023
Concept Algebra for (Score-Based) Text-Controlled Generative Models Zihao Wang Lin Gui Jeffrey Negrea Victor Veitch CoGe DiffM 30 32 0 07 Feb 2023
Divide and Compose with Score Based Generative Models S. Ghimire Armand Comas Davin Hill A. Masoomi Octavia Camps Jennifer Dy DiffM 25 0 0 05 Feb 2023
Energy-Inspired Self-Supervised Pretraining for Vision Models Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 21 8 0 02 Feb 2023
Versatile Energy-Based Probabilistic Models for High Energy Physics Taoli Cheng Aaron Courville DiffM 9 0 0 01 Feb 2023
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models Tao Yang Yuwang Wang Yan Lv Nanning Zh DiffM 19 22 0 31 Jan 2023
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields Anthony Simeonov Yilun Du Lin Yen-Chen Alberto Rodriguez L. Kaelbling Tomas Lozano-Perez Pulkit Agrawal 26 52 0 17 Nov 2022
Neural Systematic Binder Gautam Singh Yeongbin Kim Sungjin Ahn OCL 29 36 0 02 Nov 2022
Learning Explicit Object-Centric Representations with Vision Transformers Oscar Vikström Alexander Ilin OCL ViT 30 4 0 25 Oct 2022
Improving Object-centric Learning with Query Optimization Baoxiong Jia Yu Liu Siyuan Huang OCL 21 49 0 17 Oct 2022
Robust and Controllable Object-Centric Learning through Energy-based Models Ruixiang Zhang Tong Che B. Ivanovic Renhao Wang Marco Pavone Yoshua Bengio Liam Paull OCL 26 8 0 11 Oct 2022
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information Xiao Liu Spyridon Thermos Pedro Sanchez Alison Q. OÑeil Sotirios A. Tsaftaris 34 1 0 06 Aug 2022
Neural Groundplans: Persistent Neural Scene Representations from a Single Image Prafull Sharma A. Tewari Yilun Du Sergey Zakharov Rares Ambrus Adrien Gaidon William T. Freeman F. Durand J. Tenenbaum Vincent Sitzmann SSL OCL 24 16 0 22 Jul 2022
Learning Iterative Reasoning through Energy Minimization Yilun Du Shuang Li J. Tenenbaum Igor Mordatch PINN 20 23 0 30 Jun 2022
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time Tailin Wu Megan Tjandrasuwita Zhengxuan Wu Xuelin Yang Kevin Liu Rok Sosivc J. Leskovec 16 22 0 30 Jun 2022