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1901.05761
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Attentive Neural Processes
17 January 2019
Hyunjik Kim
A. Mnih
Jonathan Richard Schwarz
M. Garnelo
S. M. Ali Eslami
Dan Rosenbaum
Oriol Vinyals
Yee Whye Teh
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Papers citing
"Attentive Neural Processes"
50 / 293 papers shown
An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems
Knowledge Discovery and Data Mining (KDD), 2024
Taeyoung Yun
Kanghoon Lee
Sujin Yun
Ilmyung Kim
Won-Woo Jung
Min-Cheol Kwon
Kyujin Choi
Yoohyeon Lee
Jinkyoo Park
290
2
0
14 Aug 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Knowledge Discovery and Data Mining (KDD), 2024
Cheems Wang
Yiqin Lv
Yixiu Mao
Yun Qu
Yi Tian Xu
Xiangyang Ji
OOD
TTA
525
13
0
28 Jul 2024
In-Context In-Context Learning with Transformer Neural Processes
Symposium on Advances in Approximate Bayesian Inference (AABI), 2024
Matthew Ashman
Cristiana-Diana Diaconu
Adrian Weller
Richard E. Turner
237
4
0
19 Jun 2024
Approximately Equivariant Neural Processes
Neural Information Processing Systems (NeurIPS), 2024
Matthew Ashman
Cristiana-Diana Diaconu
Adrian Weller
W. Bruinsma
Richard E. Turner
BDL
193
5
0
19 Jun 2024
Translation Equivariant Transformer Neural Processes
Matthew Ashman
Cristiana-Diana Diaconu
Junhyuck Kim
Lakee Sivaraya
Stratis Markou
James Requeima
W. Bruinsma
Richard E. Turner
254
9
0
18 Jun 2024
Estimating the Hallucination Rate of Generative AI
Andrew Jesson
Nicolas Beltran-Velez
Quentin Chu
Sweta Karlekar
Jannik Kossen
Yarin Gal
John P. Cunningham
David M. Blei
520
27
0
11 Jun 2024
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization
Jixiang Qing
Becky D Langdon
Robert M. Lee
B. Shafei
Mark van der Wilk
Calvin Tsay
Ruth Misener
259
3
0
04 Jun 2024
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
Kun Chen
Tao Chen
Peng Ye
Hao Chen
Kang Chen
Tao Han
Wanli Ouyang
Mengwei He
201
11
0
03 Jun 2024
Does learning the right latent variables necessarily improve in-context learning?
Sarthak Mittal
Eric Elmoznino
Léo Gagnon
Sangnie Bhardwaj
Tom Marty
Dhanya Sridhar
Guillaume Lajoie
425
8
0
29 May 2024
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space
Peiyu Yu
Dinghuai Zhang
Hengzhi He
Xiaojian Ma
Ruiyao Miao
...
Deqian Kong
Ruiqi Gao
Jianwen Xie
Guang Cheng
Ying Nian Wu
340
10
0
27 May 2024
Rényi Neural Processes
Xuesong Wang
He Zhao
Edwin V. Bonilla
UQCV
BDL
460
0
0
25 May 2024
Spectral Convolutional Conditional Neural Processes
Peiman Mohseni
Nick Duffield
308
4
0
19 Apr 2024
On permutation-invariant neural networks
Masanari Kimura
Ryotaro Shimizu
Yuki Hirakawa
Ryosuke Goto
Yuki Saito
OOD
AAML
351
17
0
26 Mar 2024
Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes
Seokhyun Chung
Raed Al Kontar
191
0
0
25 Mar 2024
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs
S. C. Mouli
Danielle C. Maddix
S. Alizadeh
Gaurav Gupta
Andrew Stuart
Michael W. Mahoney
Yuyang Wang
UQCV
AI4CE
231
6
0
15 Mar 2024
Online Adaptation of Language Models with a Memory of Amortized Contexts
Jihoon Tack
Jaehyung Kim
Eric Mitchell
Jinwoo Shin
Yee Whye Teh
Jonathan Richard Schwarz
KELM
284
30
0
07 Mar 2024
Learning to Defer to a Population: A Meta-Learning Approach
Dharmesh Tailor
Aditya Patra
Rajeev Verma
Putra Manggala
Eric Nalisnick
351
22
0
05 Mar 2024
Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling
Ruijia Niu
D. Wu
Kai Kim
Yi-An Ma
D. Watson‐Parris
Rose Yu
AI4CE
284
10
0
29 Feb 2024
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
Kevin Frans
Seohong Park
Pieter Abbeel
Sergey Levine
OffRL
291
18
0
27 Feb 2024
Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object Tracking
Momir Adzemovic
Predrag Tadić
Andrija Petrović
Mladen Nikolic
303
9
0
15 Feb 2024
Towards Generative Abstract Reasoning: Completing Raven's Progressive Matrix via Rule Abstraction and Selection
Fan Shi
Bin Li
Xiangyang Xue
ReLM
LRM
297
5
0
18 Jan 2024
Space and Time Continuous Physics Simulation From Partial Observations
International Conference on Learning Representations (ICLR), 2024
Steeven Janny
Madiha Nadri Wolf
Julie Digne
Christian Wolf
AI4CE
362
9
0
17 Jan 2024
Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning
Jens Müller
Lars Kühmichel
Martin Rohbeck
Stefan T. Radev
Ullrich Kothe
OOD
282
0
0
15 Dec 2023
Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation
Tomoharu Iwata
Atsutoshi Kumagai
BDL
UQCV
245
3
0
13 Dec 2023
Target-Free Compound Activity Prediction via Few-Shot Learning
Peter Eckmann
Jake Anderson
Michael K. Gilson
Rose Yu
175
2
0
27 Nov 2023
Latent Task-Specific Graph Network Simulators
Philipp Dahlinger
Niklas Freymuth
Michael Volpp
Tai Hoang
Gerhard Neumann
AI4CE
303
0
0
09 Nov 2023
Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces
Tomoharu Iwata
Atsutoshi Kumagai
245
2
0
09 Nov 2023
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling
European Conference on Computer Vision (ECCV), 2023
Wonho Bae
Jing Wang
Danica J. Sutherland
314
1
0
06 Nov 2023
ExPT: Synthetic Pretraining for Few-Shot Experimental Design
Neural Information Processing Systems (NeurIPS), 2023
Tung Nguyen
Sudhanshu Agrawal
Aditya Grover
339
23
0
30 Oct 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning
Neural Information Processing Systems (NeurIPS), 2023
Saurav Jha
Dong Gong
He Zhao
Lina Yao
CLL
BDL
198
21
0
30 Oct 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes
Neural Information Processing Systems (NeurIPS), 2023
Jiayi Shen
Xiantong Zhen
Qi
Qi Wang
M. Worring
223
14
0
28 Oct 2023
Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic Processes
Science China Information Sciences (Sci China Inf Sci), 2023
Jiaxu Cui
Bing Sun
Jiming Liu
Bo Yang
200
3
0
25 Oct 2023
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder
Neural Information Processing Systems (NeurIPS), 2023
Huiwon Jang
Jihoon Tack
Daewon Choi
Jongheon Jeong
Jinwoo Shin
204
6
0
25 Oct 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
The Journal of Financial Data Science (JFDS), 2023
Kieran Wood
Samuel Kessler
Stephen J. Roberts
S. Zohren
AI4TS
299
6
0
16 Oct 2023
Transformer-based Autoencoder with ID Constraint for Unsupervised Anomalous Sound Detection
EURASIP Journal on Audio, Speech, and Music Processing (EURASIP J. Audio Speech Music Process), 2023
Jian Guan
Youde Liu
Qiuqiang Kong
Feiyang Xiao
Qiaoxi Zhu
Jiantong Tian
Wenwu Wang
163
17
0
13 Oct 2023
Tree Cross Attention
International Conference on Learning Representations (ICLR), 2023
Zixuan Chen
Zewei He
Ziqian Lu
Zheming Lu
Mohamed Osama Ahmed
301
0
0
29 Sep 2023
Context is Environment
International Conference on Learning Representations (ICLR), 2023
Sharut Gupta
Stefanie Jegelka
David Lopez-Paz
Kartik Ahuja
227
0
0
18 Sep 2023
Generalizable Neural Fields as Partially Observed Neural Processes
IEEE International Conference on Computer Vision (ICCV), 2023
Jeffrey Gu
Kuan-Chieh Wang
Serena Yeung
AI4CE
294
6
0
13 Sep 2023
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes
Tim Bakker
H. V. Hoof
Max Welling
214
2
0
11 Sep 2023
Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds
Marcel Hirt
Domenico Campolo
Victoria Leong
Juan-Pablo Ortega
DRL
359
0
0
01 Sep 2023
Embracing assay heterogeneity with neural processes for markedly improved bioactivity predictions
Lucian Chan
M. Verdonk
C. Poelking
98
4
0
17 Aug 2023
Machine Learning for Infectious Disease Risk Prediction: A Survey
ACM Computing Surveys (ACM Comput. Surv.), 2023
Mutong Liu
Yang Liu
Jiming Liu
LM&MA
AI4CE
137
7
0
06 Aug 2023
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
International Conference on Machine Learning (ICML), 2023
Jianfeng Wang
Daniela Massiceti
Xiaolin Hu
Vladimir Pavlovic
Thomas Lukasiewicz
UQCV
183
9
0
05 Aug 2023
TabR: Tabular Deep Learning Meets Nearest Neighbors in 2023
International Conference on Learning Representations (ICLR), 2023
Yu. V. Gorishniy
Ivan Rubachev
Nikolay Kartashev
Daniil Shlenskii
Akim Kotelnikov
Artem Babenko
OOD
LMTD
247
15
0
26 Jul 2023
Abstracting Concept-Changing Rules for Solving Raven's Progressive Matrix Problems
Fan Shi
Bin Li
Xiangyang Xue
LRM
179
11
0
15 Jul 2023
Geometric Neural Diffusion Processes
Neural Information Processing Systems (NeurIPS), 2023
Emile Mathieu
Vincent Dutordoir
M. Hutchinson
Valentin De Bortoli
Yee Whye Teh
Richard Turner
DiffM
252
12
0
11 Jul 2023
Exploiting Inferential Structure in Neural Processes
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Dharmesh Tailor
Mohammad Emtiyaz Khan
Eric Nalisnick
BDL
221
2
0
27 Jun 2023
Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach
Zicheng Zhao
Linhao Luo
Shirui Pan
Quoc Viet Hung Nguyen
Chenggui Gong
245
9
0
26 Jun 2023
Constant Memory Attention Block
Leo Feng
Frederick Tung
Hossein Hajimirsadeghi
Yoshua Bengio
Mohamed Osama Ahmed
226
0
0
21 Jun 2023
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision
Neural Information Processing Systems (NeurIPS), 2023
A. Tewari
Tianwei Yin
George Cazenavette
Semon Rezchikov
J. Tenenbaum
F. Durand
William T. Freeman
Vincent Sitzmann
DiffM
410
112
0
20 Jun 2023
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