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Concept Learning with Energy-Based Models

Concept Learning with Energy-Based Models

International Conference on Learning Representations (ICLR), 2018
6 November 2018
William J. Wilkinson
ArXiv (abs)PDFHTML

Papers citing "Concept Learning with Energy-Based Models"

20 / 20 papers shown
CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity
CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity
Guang Yin
Yitong Li
Yixuan Wang
D. Mcconachie
Paarth Shah
Kunimatsu Hashimoto
Huan Zhang
Katherine Liu
Yunzhu Li
LM&Ro
258
7
0
19 Jun 2025
$R^2$-Guard: Robust Reasoning Enabled LLM Guardrail via
  Knowledge-Enhanced Logical Reasoning
R2R^2R2-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning
Mintong Kang
Yue Liu
LRM
344
37
0
08 Jul 2024
In-Context Learning of Energy Functions
In-Context Learning of Energy Functions
Rylan Schaeffer
Mikail Khona
Sanmi Koyejo
248
1
0
18 Jun 2024
On the Temperature of Machine Learning Systems
On the Temperature of Machine Learning Systems
Dong Zhang
AI4CE
225
3
0
19 Apr 2024
Bridging Associative Memory and Probabilistic Modeling
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
326
4
0
15 Feb 2024
SceneScore: Learning a Cost Function for Object Arrangement
SceneScore: Learning a Cost Function for Object Arrangement
Ivan Kapelyukh
Edward Johns
OffRLDiffMOCL
274
6
0
14 Nov 2023
Training Energy-Based Models with Diffusion Contrastive Divergences
Training Energy-Based Models with Diffusion Contrastive Divergences
Weijian Luo
Hao Jiang
Tianyang Hu
Jiacheng Sun
Hao Sun
Zhihua Zhang
DiffM
330
11
0
04 Jul 2023
Sample-Efficient Learning of Novel Visual Concepts
Sample-Efficient Learning of Novel Visual Concepts
Sarthak Bhagat
Simon Stepputtis
Joseph Campbell
Katia Sycara
262
9
0
15 Jun 2023
Energy-based Models are Zero-Shot Planners for Compositional Scene
  Rearrangement
Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement
N. Gkanatsios
Ayush Jain
Zhou Xian
Yunchu Zhang
C. Atkeson
Katerina Fragkiadaki
LM&Ro
475
45
0
27 Apr 2023
Robust and Controllable Object-Centric Learning through Energy-based
  Models
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
331
10
0
11 Oct 2022
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and
  Acquisition at Inference Time
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference TimeNeural Information Processing Systems (NeurIPS), 2022
Tailin Wu
Megan Tjandrasuwita
Zhengxuan Wu
Xuelin Yang
Kevin Liu
Rok Sosivc
J. Leskovec
255
28
0
30 Jun 2022
Robust Meta-learning with Sampling Noise and Label Noise via
  Eigen-Reptile
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-ReptileInternational Conference on Machine Learning (ICML), 2022
Dong Chen
Lingfei Wu
Siliang Tang
Xiao Yun
Bo Long
Yueting Zhuang
VLMNoLa
222
13
0
04 Jun 2022
Thalamus: a brain-inspired algorithm for biologically-plausible
  continual learning and disentangled representations
Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representationsInternational Conference on Learning Representations (ICLR), 2022
Ali Hummos
CLL
267
11
0
24 May 2022
Implicit Behavioral Cloning
Implicit Behavioral CloningConference on Robot Learning (CoRL), 2021
Peter R. Florence
Corey Lynch
Andy Zeng
Oscar Ramirez
Ayzaan Wahid
Laura Downs
Adrian S. Wong
Johnny Lee
Igor Mordatch
Jonathan Tompson
OffRL
609
577
0
01 Sep 2021
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
695
303
0
09 Dec 2020
Set Prediction without Imposing Structure as Conditional Density
  Estimation
Set Prediction without Imposing Structure as Conditional Density EstimationInternational Conference on Learning Representations (ICLR), 2020
David W. Zhang
Gertjan J. Burghouts
Cees G. M. Snoek
274
18
0
08 Oct 2020
Meta-Learning with Implicit Gradients
Meta-Learning with Implicit GradientsNeural Information Processing Systems (NeurIPS), 2019
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
669
967
0
10 Sep 2019
Deep Set Prediction Networks
Deep Set Prediction NetworksNeural Information Processing Systems (NeurIPS), 2019
Yan Zhang
Jonathon S. Hare
Adam Prugel-Bennett
564
126
0
15 Jun 2019
EDUCE: Explaining model Decisions through Unsupervised Concepts
  Extraction
EDUCE: Explaining model Decisions through Unsupervised Concepts Extraction
Diane Bouchacourt
Ludovic Denoyer
FAtt
266
25
0
28 May 2019
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning
Kelvin Xu
Ellis Ratner
Anca Dragan
Sergey Levine
Chelsea Finn
405
67
0
31 May 2018
1
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