All paper pages
28734 retained paper pages. Page 92 of 288.
- Bialgebraic Semantics for String Diagrams
Filippo Bonchi, Robin Piedeleu, Pawel Sobocinski, Fabio Zanasi · 2019
- In-memory hyperdimensional computing
Geethan Karunaratne, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abbas Rahimi, Abu Sebastian · 2019
- Hamiltonian Neural Networks
Sam Greydanus, Misko Dzamba, Jason Yosinski · 2019
- Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
Chinnadhurai Sankar, Sandeep Subramanian, Christopher Pal, Sarath Chandar, Yoshua Bengio · 2019
- Transferable Neural Projection Representations
Chinnadhurai Sankar, Sujith Ravi, Zornitsa Kozareva · 2019
- Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Vincent Sitzmann, Michael Zollhöfer, Gordon Wetzstein · 2019
- Off-Policy Evaluation via Off-Policy Classification
Alex Irpan, Kanishka Rao, Konstantinos Bousmalis, Chris Harris, Julian Ibarz, Sergey Levine · 2019
- Thermodynamic Neural Network
Todd Hylton · 2019
- Basic Neural Units of the Brain: Neurons, Synapses and Action Potential
Jiawei Zhang · 2019
- The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction
Dimitrios Alikaniotis, Vipul Raheja · 2019
- Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)
Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, Roger Zimmermann, Rada Mihalcea, Soujanya Poria · 2019
- Risks from Learned Optimization in Advanced Machine Learning Systems
Evan Hubinger, Chris van Merwijk, Vladimir Mikulik, Joar Skalse, Scott Garrabrant · 2019
- Practical Byte-Granular Memory Blacklisting using Califorms
Hiroshi Sasaki, Miguel A. Arroyo, M. Tarek Ibn Ziad, Koustubha Bhat, Kanad Sinha, Simha Sethumadhavan · 2019
- Towards conceptual generalization in the embedding space
Luka Nenadović, Vladimir Prelovac · 2019
- Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
Koen Helwegen, James Widdicombe, Lukas Geiger, Zechun Liu, Kwang-Ting Cheng, Roeland Nusselder · 2019
- Adapting Neural Networks for the Estimation of Treatment Effects
Claudia Shi, David M. Blei, Victor Veitch · 2019
- Variational Pretraining for Semi-supervised Text Classification
Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith · 2019
- Energy and Policy Considerations for Deep Learning in NLP
Emma Strubell, Ananya Ganesh, Andrew McCallum · 2019
- Butterfly Transform: An Efficient FFT Based Neural Architecture Design
Keivan Alizadeh Vahid, Anish Prabhu, Ali Farhadi, Mohammad Rastegari · 2019
- Finding Friend and Foe in Multi-Agent Games
Jack Serrino, Max Kleiman-Weiner, David C. Parkes, Joshua B. Tenenbaum · 2019
- Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher · 2019
- Robust Neural Machine Translation with Doubly Adversarial Inputs
Yong Cheng, Lu Jiang, Wolfgang Macherey · 2019
- Practical Deep Learning with Bayesian Principles
Kazuki Osawa, Siddharth Swaroop, Anirudh Jain, Runa Eschenhagen, Richard E. Turner, Rio Yokota, Mohammad Emtiyaz Khan · 2019
- On the physical (im)possibility of lightsabers
Francois Fillion-Gourdeau, Jean-Sebastien Gagnon · 2019
- Singing voice separation: a study on training data
Laure Prétet, Romain Hennequin, Jimena Royo-Letelier, Andrea Vaglio · 2019
- Does Object Recognition Work for Everyone?
Terrance DeVries, Ishan Misra, Changhan Wang, Laurens van der Maaten · 2019
- An Introduction to Variational Autoencoders
Diederik P. Kingma, Max Welling · 2019
- Visualizing and Measuring the Geometry of BERT
Andy Coenen, Emily Reif, Ann Yuan, Been Kim, Adam Pearce, Fernanda Viégas, Martin Wattenberg · 2019
- Residual Flows for Invertible Generative Modeling
Ricky T. Q. Chen, Jens Behrmann, David Duvenaud, Jörn-Henrik Jacobsen · 2019
- Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading
Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao · 2019
- Mesh R-CNN
Georgia Gkioxari, Jitendra Malik, Justin Johnson · 2019
- Compositional Questions Do Not Necessitate Multi-hop Reasoning
Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer · 2019
- Multi-hop Reading Comprehension through Question Decomposition and Rescoring
Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi · 2019
- Software Ethology: An Accurate, Resilient, and Cross-Architecture Binary Analysis Framework
Derrick McKee, Nathan Burow, Mathias Payer · 2019
- Selfie: Self-supervised Pretraining for Image Embedding
Trieu H. Trinh, Minh-Thang Luong, Quoc V. Le · 2019
- Ego-Pose Estimation and Forecasting as Real-Time PD Control
Ye Yuan, Kris Kitani · 2019
- When and Why Metaheuristics Researchers Can Ignore "No Free Lunch" Theorems
James McDermott · 2019
- Watch, Try, Learn: Meta-Learning from Demonstrations and Reward
Allan Zhou, Eric Jang, Daniel Kappler, Alex Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn · 2019
- Synthesis and Observation of Non-Abelian Gauge Fields in Real Space
Yi Yang, Chao Peng, Di Zhu, Hrvoje Buljan, John D. Joannopoulos, Bo Zhen, Marin Soljačić · 2019
- Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis
Eric Battenberg, Soroosh Mariooryad, Daisy Stanton, RJ Skerry-Ryan, Matt Shannon, David Kao, Tom Bagby · 2019
- On the Vulnerability of Capsule Networks to Adversarial Attacks
Felix Michels, Tobias Uelwer, Eric Upschulte, Stefan Harmeling · 2019
- LSTM Networks Can Perform Dynamic Counting
Mirac Suzgun, Sebastian Gehrmann, Yonatan Belinkov, Stuart M. Shieber · 2019
- Modeling the light curve of `Oumuamua: evidence for torque and disc-like shape
Sergey Mashchenko · 2019
- Stochastic Mirror Descent on Overparameterized Nonlinear Models: Convergence, Implicit Regularization, and Generalization
Navid Azizan, Sahin Lale, Babak Hassibi · 2019
- Datalog Disassembly
Antonio Flores-Montoya, Eric Schulte · 2019
- A Bayesian Model of Dose-Response for Cancer Drug Studies
Wesley Tansey, Christopher Tosh, David M. Blei · 2019
- Learning Individual Styles of Conversational Gesture
Shiry Ginosar, Amir Bar, Gefen Kohavi, Caroline Chan, Andrew Owens, Jitendra Malik · 2019
- FAKTA: An Automatic End-to-End Fact Checking System
Moin Nadeem, Wei Fang, Brian Xu, Mitra Mohtarami, James Glass · 2019
- Antlia2's role in driving the ripples in the outer gas disk of the Galaxy
Sukanya Chakrabarti, Philip Chang, Adrian Price-Whelan, Justin Read, Leo Blitz, Lars Hernquist · 2019
- Mean estimation and regression under heavy-tailed distributions--a survey
Gabor Lugosi, Shahar Mendelson · 2019
- Analyzing the Structure of Attention in a Transformer Language Model
Jesse Vig, Yonatan Belinkov · 2019
- Meta-Learning Neural Bloom Filters
Jack W Rae, Sergey Bartunov, Timothy P Lillicrap · 2019
- What Does BERT Look At? An Analysis of BERT's Attention
Kevin Clark, Urvashi Khandelwal, Omer Levy, Christopher D. Manning · 2019
- Learning Powerful Policies by Using Consistent Dynamics Model
Shagun Sodhani, Anirudh Goyal, Tristan Deleu, Yoshua Bengio, Sergey Levine, Jian Tang · 2019
- Weight Agnostic Neural Networks
Adam Gaier, David Ha · 2019
- A short introduction to the Lindblad Master Equation
Daniel Manzano · 2019
- Generative Adversarial Networks are Special Cases of Artificial Curiosity (1990) and also Closely Related to Predictability Minimization (1991)
Juergen Schmidhuber · 2019
- Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
Hadi Salman, Greg Yang, Jerry Li, Pengchuan Zhang, Huan Zhang, Ilya Razenshteyn, Sebastien Bubeck · 2019
- Write, Execute, Assess: Program Synthesis with a REPL
Kevin Ellis, Maxwell Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama · 2019
- Ergodicity-breaking reveals time optimal decision making in humans
David Meder, Finn Rabe, Tobias Morville, Kristoffer H. Madsen, Magnus T. Koudahl, Ray J. Dolan, Hartwig R. Siebner, Oliver J. Hulme · 2019
- Data-Free Quantization Through Weight Equalization and Bias Correction
Markus Nagel, Mart van Baalen, Tijmen Blankevoort, Max Welling · 2019
- Task-Aware Feature Generation for Zero-Shot Compositional Learning
Xin Wang, Fisher Yu, Trevor Darrell, Joseph E. Gonzalez · 2019
- Communication-Efficient Accurate Statistical Estimation
Jianqing Fan, Yongyi Guo, Kaizheng Wang · 2019
- SPoC: Search-based Pseudocode to Code
Sumith Kulal, Panupong Pasupat, Kartik Chandra, Mina Lee, Oded Padon, Alex Aiken, Percy Liang · 2019
- When to use parametric models in reinforcement learning?
Hado van Hasselt, Matteo Hessel, John Aslanides · 2019
- Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine · 2019
- Presence-Only Geographical Priors for Fine-Grained Image Classification
Oisin Mac Aodha, Elijah Cole, Pietro Perona · 2019
- Efficient Exploration via State Marginal Matching
Lisa Lee, Benjamin Eysenbach, Emilio Parisotto, Eric Xing, Sergey Levine, Ruslan Salakhutdinov · 2019
- COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi · 2019
- Existence of Life in 2 + 1 Dimensions
J. H. C. Scargill · 2019
- E3: Entailment-driven Extracting and Editing for Conversational Machine Reading
Victor Zhong, Luke Zettlemoyer · 2019
- Compositional generalization through meta sequence-to-sequence learning
Brenden M. Lake · 2019
- Neural Arabic Question Answering
Hussein Mozannar, Karl El Hajal, Elie Maamary, Hazem Hajj · 2019
- Tackling Climate Change with Machine Learning
David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio · 2019
- Mir-BFT: High-Throughput Robust BFT for Decentralized Networks
Chrysoula Stathakopoulou, Tudor David, Matej Pavlovic, Marko Vukolić · 2019
- KCAT: A Knowledge-Constraint Typing Annotation Tool
Sheng Lin, Luye Zheng, Bo Chen, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren · 2019
- Probing the Mystery of Cryptocurrency Theft: An Investigation into Methods for Taint Analysis
Tin Tironsakkul, Manuel Maarek, Andrea Eross, Mike Just · 2019
- Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index
Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi · 2019
- There is no Artificial General Intelligence
J. Landgrebe, B. Smith · 2019
- Quantum Chess: Developing a Mathematical Framework and Design Methodology for Creating Quantum Games
Christopher Cantwell · 2019
- Turing complete mechanical processor via automated nonlinear system design
Marc Serra-Garcia · 2019
- Contrastive Multiview Coding
Yonglong Tian, Dilip Krishnan, Phillip Isola · 2019
- Detecting Photoshopped Faces by Scripting Photoshop
Sheng-Yu Wang, Oliver Wang, Andrew Owens, Richard Zhang, Alexei A. Efros · 2019
- Sub-policy Adaptation for Hierarchical Reinforcement Learning
Alexander C. Li, Carlos Florensa, Ignasi Clavera, Pieter Abbeel · 2019
- Recurrent Neural Processes
Timon Willi, Jonathan Masci, Jürgen Schmidhuber, Christian Osendorfer · 2019
- Non-zero-sum Stackelberg Budget Allocation Game for Computational Advertising
Daisuke Hatano, Yuko Kuroki, Yasushi Kawase, Hanna Sumita, Naonori Kakimura, Ken-ichi Kawarabayashi · 2019
- Adversarial Training Can Hurt Generalization
Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John C. Duchi, Percy Liang · 2019
- Processing Columnar Collider Data with GPU-Accelerated Kernels
Joosep Pata, Maria Spiropulu · 2019
- Effective problem solving using SAT solvers
Curtis Bright, Jürgen Gerhard, Ilias Kotsireas, Vijay Ganesh · 2019
- "My Way of Telling a Story": Persona based Grounded Story Generation
Shrimai Prabhumoye, Khyathi Raghavi Chandu, Ruslan Salakhutdinov, Alan W Black · 2019
- Approximate Normalization for Gradual Dependent Types
Joseph Eremondi, Éric Tanter, Ronald Garcia · 2019
- Conditional Computation for Continual Learning
Min Lin, Jie Fu, Yoshua Bengio · 2019
- One Epoch Is All You Need
Aran Komatsuzaki · 2019
- Neural Decipherment via Minimum-Cost Flow: from Ugaritic to Linear B
Jiaming Luo, Yuan Cao, Regina Barzilay · 2019
- Theoretical Limitations of Self-Attention in Neural Sequence Models
Michael Hahn · 2019
- Audio Transport: A Generalized Portamento via Optimal Transport
Trevor Henderson, Justin Solomon · 2019
- Usability Squared: Principles for doing good systems research in robotics
Soham Sankaran, Ross A. Knepper · 2019
- Stacked Capsule Autoencoders
Adam R. Kosiorek, Sara Sabour, Yee Whye Teh, Geoffrey E. Hinton · 2019
- Learning Interpretable Models Using Uncertainty Oracles
Abhishek Ghose, Balaraman Ravindran · 2019
- Rapid online learning and robust recall in a neuromorphic olfactory circuit
Nabil Imam, Thomas A. Cleland · 2019