Mateja Jamnik

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All published works

Action	Title	Year	Authors
+ PDF Chat	Measuring Cross-Modal Interactions in Multimodal Models	2024	Laura Wenderoth Konstantin Hemker Nikola Simidjievski Mateja Jamnik
+ PDF Chat	PATHS: A Hierarchical Transformer for Efficient Whole Slide Image Analysis	2024	Zak Buzzard Konstantin Hemker Nikola Simidjievski Mateja Jamnik
+ PDF Chat	End-to-End Ontology Learning with Large Language Models	2024	Andrea Lo Albert Q. Jiang Wenda Li Mateja Jamnik
+ PDF Chat	Efficient Bias Mitigation Without Privileged Information	2024	Mateo Espinosa Zarlenga Swami Sankaranarayanan Jerone T. A. Andrews Zohreh Shams Mateja Jamnik Alice Xiang
+ PDF Chat	TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models	2024	Andrei Margeloiu Xiangjian Jiang Nikola Simidjievski Mateja Jamnik
+ PDF Chat	Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe	2024	Alicja Ziarko Albert Q. Jiang Bartosz Piotrowski Wenda Li Mateja Jamnik Piotr Miłoś
+ PDF Chat	Evaluating language models for mathematics through interactions	2024	Katherine M. Collins Albert Q. Jiang Simon Frieder Lionel Wong Miri Zilka Umang Bhatt Thomas Lukasiewicz Yuhuai Wu Joshua B. Tenenbaum William Hart
+ PDF Chat	TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting	2024	Andrei Margeloiu Adrián Bazaga Nikola Simidjievski Píetro Lió Mateja Jamnik
+ PDF Chat	MM-Lego: Modular Biomedical Multimodal Models with Minimal Fine-Tuning	2024	Konstantin Hemker Nikola Simidjievski Mateja Jamnik
+ PDF Chat	Understanding Inter-Concept Relationships in Concept-Based Models	2024	Naveen Raman Mateo Espinosa Zarlenga Mateja Jamnik
+ PDF Chat	Sphere Neural-Networks for Rational Reasoning	2024	Tiansi Dong Mateja Jamnik Píetro Lió
+	Do Concept Bottleneck Models Obey Locality?	2024	Naveen Raman Mateo Espinosa Zarlenga Juyeon Heo Mateja Jamnik
+	Human Uncertainty in Concept-Based AI Systems	2023	Katherine M. Collins Matthew L Barker Mateo Espinosa Zarlenga Naveen Raman Umang Bhatt Mateja Jamnik Ilia Sucholutsky Adrian Weller Krishnamurthy Dvijotham
+ PDF Chat	Towards Robust Metrics for Concept Representation Evaluation	2023	Mateo Espinosa Zarlenga Pietro Barbiero Zohreh Shams Dmitry Kazhdan Umang Bhatt Adrian Weller Mateja Jamnik
+ PDF Chat	Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data	2023	Andrei Margeloiu Nikola Simidjievski Píetro Lió Mateja Jamnik
+	Towards Robust Metrics for Concept Representation Evaluation	2023	Mateo Espinosa Zarlenga Pietro Barbiero Zohreh Shams Dmitry Kazhdan Umang Bhatt Adrian Weller Mateja Jamnik
+	GCI: A (G)raph (C)oncept (I)nterpretation Framework	2023	Dmitry Kazhdan Botty Dimanov Lucie Charlotte Magister Pietro Barbiero Mateja Jamnik Píetro Lió
+	Human Uncertainty in Concept-Based AI Systems	2023	Katherine M. Collins Matthew L Barker Mateo Espinosa Zarlenga Naveen Raman Umang Bhatt Mateja Jamnik Ilia Sucholutsky Adrian Weller Krishnamurthy Dvijotham
+	CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs	2023	Konstantin Hemker Zohreh Shams Mateja Jamnik
+	Interpretable Neural-Symbolic Concept Reasoning	2023	Pietro Barbiero Gabriele Ciravegna Francesco Giannini Mateo Espinosa Zarlenga Lucie Charlotte Magister Alberto Tonda Píetro Lió Fŕed́eric Precioso Mateja Jamnik Giuseppe Marra
+	Evaluating Language Models for Mathematics through Interactions	2023	Katherine M. Collins Albert Q. Jiang Simon Frieder Lionel Wong Miri Zilka Umang Bhatt Thomas Lukasiewicz Yuhuai Wu Joshua B. Tenenbaum William E. Hart
+	ProtoGate: Prototype-based Neural Networks with Local Feature Selection for Tabular Biomedical Data	2023	Xiangjian Jiang Andrei Margeloiu Nikola Simidjievski Mateja Jamnik
+	Enhancing Representation Learning on High-Dimensional, Small-Size Tabular Data: A Divide and Conquer Method with Ensembled VAEs	2023	Navindu Leelarathna Andrei Margeloiu Mateja Jamnik Nikola Simidjievski
+ PDF Chat	CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs	2023	Konstantin Hemker Zohreh Shams Mateja Jamnik
+	Learning to Receive Help: Intervention-Aware Concept Embedding Models	2023	Mateo Espinosa Zarlenga Katherine M. Collins Krishnamurthy Dvijotham Adrian Weller Zohreh Shams Mateja Jamnik
+	Multilingual Mathematical Autoformalization	2023	Albert Q. Jiang Wenda Li Mateja Jamnik
+	HEALNet -- Hybrid Multi-Modal Fusion for Heterogeneous Biomedical Data	2023	Konstantin Hemker Nikola Smidjievski Mateja Jamnik
+	Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery	2023	Yana Lishkova Paul Scherer Steffen Ridderbusch Mateja Jamnik Píetro Lió Sina Ober‐Blöbaum Christian Offen
+ PDF Chat	Concept Embedding Models	2022	Mateo Espinosa Zarlenga Pietro Barbiero Gabriele Ciravegna Giuseppe Marra Francesco Giannini Michelangelo Diligenti Fŕed́eric Precioso Stefano Melacci Adrian Weller Píetro Lió
+ PDF Chat	Two Primary School Teachers' Mathematical Knowledge of Content, Students, and Teaching Practices relevant to Lakatos-style Investigation of Proof Tasks	2022	Dimitrios Deslis Andreas J. Stylianides Mateja Jamnik
+	Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers	2022	Albert Q. Jiang Wenda Li Szymon Tworkowski Konrad Czechowski Tomasz Odrzygóźdź Piotr Miłoś Yuhuai Wu Mateja Jamnik
+	Representational Systems Theory: A Unified Approach to Encoding, Analysing and Transforming Representations	2022	Daniel Raggi Gem Stapleton Mateja Jamnik Aaron Stockdill Grecia García García Peter Cheng
+	Autoformalization with Large Language Models	2022	Yuhuai Wu Albert Q. Jiang Wenda Li Markus N. Rabe Charles Staats Mateja Jamnik Christian Szegedy
+	Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off	2022	Mateo Espinosa Zarlenga Pietro Barbiero Gabriele Ciravegna Giuseppe Marra Francesco Giannini Michelangelo Diligenti Zohreh Shams Fŕed́eric Precioso Stefano Melacci Adrian Weller
+	Distributed representations of graphs for drug pair scoring	2022	Paul Scherer Píetro Lió Mateja Jamnik
+	Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs	2022	Albert Q. Jiang Sean Welleck Jin Zhou Wenda Li Jiacheng Liu Mateja Jamnik Timothée Lacroix Yuhuai Wu Guillaume Lample
+	GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data	2022	Andrei Margeloiu Nikola Simidjievski Píetro Lió Mateja Jamnik
+	Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations	2022	Shea Cardozo Gabriel Islas Montero Dmitry Kazhdan Botty Dimanov Maleakhi Wijaya Mateja Jamnik Píetro Lió
+	Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery	2022	Yana Lishkova Paul Scherer Steffen Ridderbusch Mateja Jamnik Píetro Lió Sina Ober‐Blöbaum Christian Offen
+	Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data	2022	Andrei Margeloiu Nikola Simidjievski Píetro Lió Mateja Jamnik
+	Encoding Concepts in Graph Neural Networks	2022	Lucie Charlotte Magister Pietro Barbiero Dmitry Kazhdan Federico Siciliano Gabriele Ciravegna Fabrizio Silvestri Mateja Jamnik Píetro Lió
+	Efficient Decompositional Rule Extraction for Deep Neural Networks	2021	Mateo Espinosa Zarlenga Zohreh Shams Mateja Jamnik
+ PDF Chat	Efficient Decompositional Rule Extraction for Deep Neural Networks	2021	Mateo Espinosa Zarlenga Zohreh Shams Mateja Jamnik
+	Failing Conceptually: Concept-Based Explanations of Dataset Shift.	2021	Maleakhi A. Wijaya Dmitry Kazhdan Botty Dimanov Mateja Jamnik
+	Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches	2021	Dmitry Kazhdan Botty Dimanov Helena Andrés-Terré Mateja Jamnik Píetro Lió Adrian Weller
+	Do Concept Bottleneck Models Learn as Intended?	2021	Andrei Margeloiu Matthew Ashman Umang Bhatt Yanzhi Chen Mateja Jamnik Adrian Weller
+	Failing Conceptually: Concept-Based Explanations of Dataset Shift	2021	Maleakhi A. Wijaya Dmitry Kazhdan Botty Dimanov Mateja Jamnik
+	Efficient Decompositional Rule Extraction for Deep Neural Networks	2021	Mateo Espinosa Zarlenga Zohreh Shams Mateja Jamnik
+	Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches	2021	Dmitry Kazhdan Botty Dimanov Helena Andrés-Terré Mateja Jamnik Píetro Lió Adrian Weller
+	MEME: Generating RNN Model Explanations via Model Extraction.	2020	Dmitry Kazhdan Botty Dimanov Mateja Jamnik Píetro Lió
+	Improving Interpretability in Medical Imaging Diagnosis using Adversarial Training.	2020	Andrei Margeloiu Nikola Simidjievski Mateja Jamnik Adrian Weller
+	Using ontology embeddings for structural inductive bias in gene expression data analysis.	2020	Maja Trębacz Zohreh Shams Mateja Jamnik Paul Scherer Nikola Simidjievski Helena Andrés-Terré Píetro Lió
+	Pairwise Relations Discriminator for Unsupervised Raven's Progressive Matrices.	2020	Nicholas Quek Wei Kiat Duo Wang Mateja Jamnik
+	Exploring Structural Inductive Biases in Emergent Communication.	2020	Agnieszka Słowik Abhinav Gupta William L. Hamilton Mateja Jamnik Sean B. Holden Christopher Pal
+	Structural Inductive Biases in Emergent Communication	2020	Agnieszka Słowik Abhinav Gupta William L. Hamilton Mateja Jamnik Sean B. Holden Christopher Pal
+	Towards Graph Representation Learning in Emergent Communication	2020	Agnieszka Słowik Abhinav Gupta William L. Hamilton Mateja Jamnik Sean B. Holden
+	Probabilistic Dual Network Architecture Search on Graphs	2020	Yiren Zhao Duo Wang Xitong Gao Robert Mullins Píetro Lió Mateja Jamnik
+	Extrapolatable Relational Reasoning With Comparators in Low-Dimensional Manifolds	2020	Duo Wang Mateja Jamnik Píetro Lió
+	Abstract Diagrammatic Reasoning with Multiplex Graph Networks	2020	Duo Wang Mateja Jamnik Píetro Lió
+	Learned Low Precision Graph Neural Networks	2020	Yiren Zhao Duo Wang Daniel Bates Robert Mullins Mateja Jamnik Píetro Lió
+	Incorporating network based protein complex discovery into automated model construction	2020	Paul Scherer Maja Trębacz Nikola Simidjievski Zohreh Shams Helena Andrés-Terré Píetro Lió Mateja Jamnik
+	Now You See Me (CME): Concept-based Model Extraction	2020	Dmitry Kazhdan Botty Dimanov Mateja Jamnik Píetro Lió Adrian Weller
+	MEME: Generating RNN Model Explanations via Model Extraction	2020	Dmitry Kazhdan Botty Dimanov Mateja Jamnik Píetro Lió
+	Using ontology embeddings for structural inductive bias in gene expression data analysis	2020	Maja Trębacz Zohreh Shams Mateja Jamnik Paul Scherer Nikola Simidjievski Helena Andrés-Terré Píetro Lió
+	Pairwise Relations Discriminator for Unsupervised Raven's Progressive Matrices	2020	Nicholas Quek Wei Kiat Duo Wang Mateja Jamnik
+	Structural Inductive Biases in Emergent Communication	2020	Agnieszka Słowik Abhinav Gupta William L. Hamilton Mateja Jamnik Sean B. Holden Christopher Pal
+	Improving Interpretability in Medical Imaging Diagnosis using Adversarial Training	2020	Andrei Margeloiu Nikola Simidjievski Mateja Jamnik Adrian Weller
+ PDF Chat	A Common Type of Rigorous Proof that Resists Hilbert’s Programme	2019	Alan Bundy Mateja Jamnik
+	Unsupervised and interpretable scene discovery with Discrete-Attend-Infer-Repeat	2019	Duo Wang Mateja Jamnik Píetro Lió
+	Bayesian Optimisation with Gaussian Processes for Premise Selection	2019	Agnieszka Słowik Chaitanya Mangla Mateja Jamnik Sean B. Holden Lawrence C. Paulson
+	Decoupling feature propagation from the design of graph auto-encoders	2019	Paul Scherer Helena Andrés-Terré Píetro Lió Mateja Jamnik
+ PDF Chat	Tactical Diagrammatic Reasoning	2017	Sven Linker Jim Burton Mateja Jamnik
+	Interactive visual machine learning in spreadsheets	2015	Advait Sarkar Mateja Jamnik Alan F. Blackwell Martin Spott
+	Teach and try: A simple interaction technique for exploratory data modelling by end users	2014	Advait Sarkar Alan F. Blackwell Mateja Jamnik Martin Spott
+	Combining Proofs of Higher-Order and First-Order Automated Theorem Provers	2005	Christoph Benzmüller Volker Sorge Mateja Jamnik Manfred Kerber
+	Mathematical Reasoning with Diagrams	2001	Mateja Jamnik

Common Coauthors

Coauthor	Papers Together
Píetro Lió	28
Nikola Simidjievski	15
Adrian Weller	15
Mateo Espinosa Zarlenga	14
Zohreh Shams	13
Dmitry Kazhdan	12
Andrei Margeloiu	10
Botty Dimanov	9
Albert Q. Jiang	8
Pietro Barbiero	7
Wenda Li	7
Umang Bhatt	7
Helena Andrés-Terré	6
Konstantin Hemker	6
Katherine M. Collins	5
Yuhuai Wu	5
Sean B. Holden	5
Abhinav Gupta	4
William L. Hamilton	4
Gabriele Ciravegna	4
Agnieszka Słowik	4
Paul Scherer	4
Duo Wang	4
Naveen Raman	4
Christopher Pal	3
Paul Scherer	3
Krishnamurthy Dvijotham	3
Giuseppe Marra	3
Fŕed́eric Precioso	3
Francesco Giannini	3
Maja Trębacz	3
Lucie Charlotte Magister	3
Nicholas Quek Wei Kiat	2
Advait Sarkar	2
Ilia Sucholutsky	2
Yiren Zhao	2
Matthew L Barker	2
Duo Wang	2
Piotr Miłoś	2
Martin Spott	2
Simon Frieder	2
W. T. Gowers	2
Steffen Ridderbusch	2
Sina Ober‐Blöbaum	2
Joshua B. Tenenbaum	2
Stefano Melacci	2
Maleakhi A. Wijaya	2
Robert Mullins	2
Alan F. Blackwell	2
Christian Offen	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	6
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	6
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	6
+	Categorical Reparameterization with Gumbel-Softmax	2016	Eric Jang Shixiang Gu Ben Poole	6
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	4
+	Towards Automatic Concept-based Explanations	2019	Amirata Ghorbani James Wexler James Zou Been Kim	4
+	Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)	2017	Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler Fernanda Viégas Rory Sayres	4
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	4
+	Concept Bottleneck Models	2020	Pang Wei Koh Thao Nguyen Yew Siang Tang Stephen Mussmann Emma Pierson Been Kim Percy Liang	4
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	4
+ PDF Chat	Concept whitening for interpretable image recognition	2020	Zhi Chen Yijie Bei Cynthia Rudin	3
+	EGG: a toolkit for research on Emergence of lanGuage in Games	2019	Eugene Kharitonov Rahma Chaabouni Diane Bouchacourt Marco Baroni	3
+	A simple neural network module for relational reasoning	2017	Adam Santoro David Raposo David G. T. Barrett Mateusz Malinowski Razvan Pascanu Peter Battaglia Timothy Lillicrap	3
+	Capacity, Bandwidth, and Compositionality in Emergent Language Learning	2019	Cinjon Resnick Abhinav Gupta Jakob Foerster Andrew M. Dai Kyunghyun Cho	3
+ PDF Chat	Building machines that learn and think like people	2016	Brenden M. Lake Tomer Ullman Joshua B. Tenenbaum Samuel J. Gershman	3
+	The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables	2016	Chris J. Maddison Andriy Mnih Yee Whye Teh	3
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	3
+	Relational inductive biases, deep learning, and graph networks	2018	Peter Battaglia Jessica B. Hamrick Victor Bapst Álvaro Sánchez‐González Vinícius Zambaldi Mateusz Malinowski Andrea Tacchetti David Raposo Adam Santoro Ryan Faulkner	3
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	3
+	On Completeness-aware Concept-Based Explanations in Deep Neural Networks	2019	Chih‐Kuan Yeh Been Kim Sercan Ö. Arık Chun‐Liang Li Tomas Pfister Pradeep Ravikumar	3
+	Neural Message Passing for Quantum Chemistry	2017	Justin Gilmer Samuel S. Schoenholz Patrick Riley Oriol Vinyals George E. Dahl	3
+	Explainable machine learning in deployment	2020	Umang Bhatt Alice Xiang Shubham Sharma Adrian Weller Ankur Taly Yunhan Jia Joydeep Ghosh Ruchir Puri José M. F. Moura Peter Eckersley	3
+ PDF Chat	Representation Learning: A Review and New Perspectives	2013	Yoshua Bengio Aaron Courville P. M. Durai Raj Vincent	3
+	The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision	2019	Jiayuan Mao Chuang Gan Pushmeet Kohli Joshua B. Tenenbaum Jiajun Wu	3
+	Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs	2019	Minjie Wang Lingfan Yu Da Zheng Quan Gan Yu Gai Zihao Ye Mufei Li Jinjing Zhou Qi Huang Chao Ma	2
+	Learning Perceptual Inference by Contrasting	2019	Chi Zhang Baoxiong Jia Feng Gao Yixin Zhu Hongjing Lu Song‐Chun Zhu	2
+	Auto-GNN: Neural Architecture Search of Graph Neural Networks	2019	Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu	2
+ PDF Chat	Natural Language Does Not Emerge ‘Naturally’ in Multi-Agent Dialog	2017	Satwik Kottur José M. F. Moura Stefan Lee Dhruv Batra	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+ PDF Chat	Enhancing Transparency and Control When Drawing Data-Driven Inferences About Individuals	2017	Daizhuo Chen Samuel P. Fraiberger Robert Moakler Foster Provost	2
+	On the Variance of the Adaptive Learning Rate and Beyond	2019	Liyuan Liu Haoming Jiang Pengcheng He Weizhu Chen Xiaodong Liu Jianfeng Gao Jiawei Han	2
+	CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text	2019	Koustuv Sinha Shagun Sodhani Jin Song Dong Joëlle Pineau William L. Hamilton	2
+	Weakly-Supervised Disentanglement Without Compromises	2020	Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen	2
+	The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables	2016	Chris J. Maddison Andriy Mnih Yee Whye Teh	2
+	Revisiting Semi-Supervised Learning with Graph Embeddings	2016	Zhilin Yang William W. Cohen Ruslan Salakhutdinov	2
+	Explaining Classifiers with Causal Concept Effect (CaCE)	2019	Yash Goyal Amir Feder Uri Shalit Been Kim	2
+	VQA: Visual Question Answering	2015	Aishwarya Agrawal Jiasen Lu Stanislaw Antol Margaret Mitchell C. Lawrence Zitnick Dhruv Batra Devi Parikh	2
+ PDF Chat	VQA: Visual Question Answering	2015	Stanislaw Antol Aishwarya Agrawal Jiasen Lu Margaret Mitchell Dhruv Batra C. Lawrence Zitnick Devi Parikh	2
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	2
+	Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding	2018	Kexin Yi Jia-Jun Wu Chuang Gan Antonio Torralba Pushmeet Kohli Joshua B. Tenenbaum	2
+ PDF Chat	How agents see things: On visual representations in an emergent language game	2018	Diane Bouchacourt Marco Baroni	2
+	Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations	2018	Xander Steenbrugge Sam Leroux Tim Verbelen Bart Dhoedt	2
+	Towards Gene Expression Convolutions using Gene Interaction Graphs	2018	Francis Dutil Joseph Cohen Martin Weiß Georgy Derevyanko Yoshua Bengio	2
+	Fast Graph Representation Learning with PyTorch Geometric	2019	Matthias Fey Jan Eric Lenssen	2
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	2
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	2
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	2
+	SmoothGrad: removing noise by adding noise	2017	Daniel Smilkov Nikhil Thorat Been Kim Fernanda Viégas Martin Wattenberg	2
+ PDF Chat	CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning	2017	Justin Johnson Bharath Hariharan Laurens van der Maaten Li Fei-Fei C. Lawrence Zitnick Ross Girshick	2
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2