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Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #1
Random mesh projectors for inverse problems
In Tue AM Posters
Konik Kothari · Sidharth Gupta · Maarten V de Hoop · Ivan Dokmanic
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #2
Improving MMD-GAN Training with Repulsive Loss Function
In Tue AM Posters
Wei Wang · Yuan Sun · Saman Halgamuge
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #3
STCN: Stochastic Temporal Convolutional Networks
In Tue AM Posters
Emre Aksan · Otmar Hilliges
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #4
GENERATING HIGH FIDELITY IMAGES WITH SUBSCALE PIXEL NETWORKS AND MULTIDIMENSIONAL UPSCALING
In Tue AM Posters
Jacob Menick · Nal Kalchbrenner
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #5
Diversity and Depth in Per-Example Routing Models
In Tue AM Posters
Prajit Ramachandran · Quoc V Le
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #6
GANSynth: Adversarial Neural Audio Synthesis
In Tue AM Posters
Jesse Engel · Kumar Agrawal · Shuo Chen · Ishaan Gulrajani · Chris Donahue · Adam Roberts
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #7
Value Propagation Networks
In Tue AM Posters
Nantas Nardelli · Gabriel Synnaeve · Zeming Lin · Pushmeet Kohli · Philip Torr · Nicolas Usunier
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #8
Visual Reasoning by Progressive Module Networks
In Tue AM Posters
Seung Wook Kim · Makarand Tapaswi · Sanja Fidler
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #9
Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian Supervision
In Tue AM Posters
José Lezama
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #10
Minimal Images in Deep Neural Networks: Fragile Object Recognition in Natural Images
In Tue AM Posters
Sanjana Srivastava · Guy Ben-Yosef · Xavier Boix
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #11
Time-Agnostic Prediction: Predicting Predictable Video Frames
In Tue AM Posters
Dinesh Jayaraman · Frederik Ebert · Alexei Efros · Sergey Levine
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #12
Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation
In Tue AM Posters
Soochan Lee · Junsoo Ha · Gunhee Kim
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #13
A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs
In Tue AM Posters
Jack Lindsey · Samuel Ocko · Surya Ganguli · Stephane Deny
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #14
Human-level Protein Localization with Convolutional Neural Networks
In Tue AM Posters
Elisabeth Rumetshofer · Markus Hofmarcher · Clemens Röhrl · Sepp Hochreiter · Günter Klambauer
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #15
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic
In Tue AM Posters
Mikael Henaff · Alfredo Canziani · Yann LeCun
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #16
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
In Tue AM Posters
Roman Novak · Lechao Xiao · Yasaman Bahri · Jaehoon Lee · Greg Yang · Jiri Hron · Daniel Abolafia · Jeffrey Pennington · Jascha Sohl-Dickstein
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #17
Differentiable Learning-to-Normalize via Switchable Normalization
In Tue AM Posters
Ping Luo · jiamin ren · zhanglin peng · Ruimao Zhang · Jingyu Li
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #18
Learning a SAT Solver from Single-Bit Supervision
In Tue AM Posters
Daniel Selsam · Matthew Lamm · Benedikt B\"{u}nz · Percy Liang · Leonardo Moura · David L Dill
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #19
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
In Tue AM Posters
Chun-Fu (Richard) Chen · Quanfu Fan · Neil Mallinar · Tom Sercu · Rogerio Feris
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #20
Unsupervised Discovery of Parts, Structure, and Dynamics
In Tue AM Posters
Zhenjia Xu · Zhijian Liu · Chen Sun · Kevin Murphy · William Freeman · Joshua B Tenenbaum · Jiajun Wu
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #21
ROBUST ESTIMATION VIA GENERATIVE ADVERSARIAL NETWORKS
In Tue AM Posters
Chao Gao · Jiyi Liu · Yuan Yao · Weizhi ZHU
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #22
Unsupervised Adversarial Image Reconstruction
In Tue AM Posters
Arthur Pajot · Emmanuel de Bézenac · patrick Gallinari
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #23
Explaining Image Classifiers by Counterfactual Generation
In Tue AM Posters
Chun-Hao Chang · Elliot Creager · Anna Goldenberg · David Duvenaud
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #24
Equi-normalization of Neural Networks
In Tue AM Posters
Pierre Stock · Benjamin Graham · Rémi Gribonval · Hervé Jégou
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #25
Biologically-Plausible Learning Algorithms Can Scale to Large Datasets
In Tue AM Posters
Wu Xiao · HONGLIN CHEN · Qianli Liao · Tomaso Poggio
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #26
ADef: an Iterative Algorithm to Construct Adversarial Deformations
In Tue AM Posters
Rima Alaifari · Giovanni S Alberti · Tandri Gauksson
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #27
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces
In Tue AM Posters
Ali Farshchian · Juan Álvaro Gallego · Joseph Paul Cohen · Yoshua Bengio · Lee E Miller · Sara A Solla
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #28
Meta-Learning with Latent Embedding Optimization
In Tue AM Posters
Andrei A. Rusu · Dushyant Rao · Jakub Sygnowski · Oriol Vinyals · Razvan Pascanu · Simon Osindero · Raia Hadsell
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #29
Diversity-Sensitive Conditional Generative Adversarial Networks
In Tue AM Posters
Dingdong Yang · Seunghoon Hong · Yunseok Jang · Tianchen Zhao · Honglak Lee
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #30
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
In Tue AM Posters
Renjie Liao · Zhizhen Zhao · Raquel Urtasun · Richard Zemel
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #31
Convolutional Neural Networks on Non-uniform Geometrical Signals Using Euclidean Spectral Transformation
In Tue AM Posters
Chiyu Jiang · Dequan Wang · Jingwei Huang · Philip Marcus · Matthias Niessner
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #32
Generating Multiple Objects at Spatially Distinct Locations
In Tue AM Posters
Tobias Hinz · Stefan Heinrich · Stefan Wermter
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #33
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces
In Tue AM Posters
Yandong Wen · Mahmoud Al Ismail · Weiyang Liu · Bhiksha Raj · Rita Singh
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #34
A rotation-equivariant convolutional neural network model of primary visual cortex
In Tue AM Posters
Alexander Ecker · Fabian H Sinz · Emmanouil Froudarakis · Paul Fahey · Santiago Cadena · Edgar Walker · Erick M Cobos · Jacob Reimer · Andreas Tolias · Matthias Bethge
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #35
Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach
In Tue AM Posters
Wenda Zhou · Victor Veitch · Morgane Austern · Ryan P Adams · Peter Orbanz
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #36
Large Scale GAN Training for High Fidelity Natural Image Synthesis
In Tue AM Posters
Andrew Brock · Jeff Donahue · Karen Simonyan
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #37
Deep Convolutional Networks as shallow Gaussian Processes
In Tue AM Posters
Adrià Garriga-Alonso · Carl Edward Rasmussen · Laurence Aitchison
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #38
LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos
In Tue AM Posters
Elke Kirschbaum · Manuel Haussmann · Steffen Wolf · Hannah Sonntag · Justus Schneider · Shehabeldin Elzoheiry · Oliver Kann · Daniel Durstewitz · Fred A Hamprecht
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #39
Learning Protein Structure with a Differentiable Simulator
In Tue AM Posters
John Ingraham · Adam J Riesselman · Chris Sander · Debora Marks
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #40
Latent Convolutional Models
In Tue AM Posters
ShahRukh Athar · Evgeny Burnaev · Victor Lempitsky
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #41
Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks
In Tue AM Posters
José Antonio Oramas Mogrovejo · Kaili Wang · Tinne Tuytelaars
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #42
Diffusion Scattering Transforms on Graphs
In Tue AM Posters
Fernando Gama · Alejandro Ribeiro · Joan Bruna
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #43
Spherical CNNs on Unstructured Grids
In Tue AM Posters
Chiyu Jiang · Jingwei Huang · Karthik Kashinath · Mr Prabhat · Philip Marcus · Matthias Niessner
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #44
Learning To Simulate
In Tue AM Posters
Nataniel Ruiz · Samuel Schulter · Manmohan Chandraker
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #45
The Singular Values of Convolutional Layers
In Tue AM Posters
Hanie Sedghi · Vineet Gupta · Phil Long
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #46
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data
In Tue AM Posters
Nan Lu · Gang Niu · Aditya Krishna Menon · Masashi Sugiyama
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #47
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
In Tue AM Posters
Eric Zhan · Stephan Zheng · Yisong Yue · Long Sha · Patrick Lucey
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #48
Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
In Tue AM Posters
Diego Valsesia · Giulia Fracastoro · Enrico Magli
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #49
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
In Tue AM Posters
Wieland Brendel · Matthias Bethge
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #50
Mode Normalization
In Tue AM Posters
Lucas Deecke · Iain Murray · Hakan Bilen
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #51
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset
In Tue AM Posters
Curtis Hawthorne · Andriy Stasyuk · Adam Roberts · Ian Simon · Anna Huang · Sander Dieleman · Erich K Elsen · Jesse Engel · Douglas Eck
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #52
Neural network gradient-based learning of black-box function interfaces
In Tue AM Posters
Alon Jacovi · guy hadash · Einat Kermany · Boaz Carmeli · Ofer Lavi · George M. Kour · Jonathan Berant
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #53
BA-Net: Dense Bundle Adjustment Networks
In Tue AM Posters
Chengzhou Tang · Ping Tan
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #54
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning
In Tue AM Posters
Pramod Kaushik Mudrakarta · Mark Sandler · Andrey Zhmoginov · Andrew Howard
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #55
Residual Non-local Attention Networks for Image Restoration
In Tue AM Posters
Yulun Zhang · Kunpeng Li · Kai Li · Bineng Zhong · Yun Fu
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #56
Eidetic 3D LSTM: A Model for Video Prediction and Beyond
In Tue AM Posters
Yunbo Wang · Lu Jiang · Ming-Hsuan Yang · Li-Jia Li · Mingsheng Long · Li Fei-Fei
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #57
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
In Tue AM Posters
Chih-Yao Ma · jiasen lu · Zuxuan Wu · Ghassan AlRegib · Zsolt Kira · richard socher · Caiming Xiong
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #58
ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees
In Tue AM Posters
Hao He · Hao Wang · Guang-He Lee · Yonglong Tian
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #59
DELTA: DEEP LEARNING TRANSFER USING FEATURE MAP WITH ATTENTION FOR CONVOLUTIONAL NETWORKS
In Tue AM Posters
Xingjian Li · Haoyi Xiong · Hanchao Wang · Yuxuan Rao · Liping Liu · Luke Huan
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #60
A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery
In Tue AM Posters
Ali Mousavi · Gautam Dasarathy · Richard Baraniuk
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #61
Context-adaptive Entropy Model for End-to-end Optimized Image Compression
In Tue AM Posters
Jooyoung Lee · Seunghyun Cho · Seung-Kwon Beack
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #62
StrokeNet: A Neural Painting Environment
In Tue AM Posters
Ningyuan Zheng · Yf Jiang · Dingjiang Huang
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #63
Dynamic Channel Pruning: Feature Boosting and Suppression
In Tue AM Posters
Xitong Gao · Yiren Zhao · Łukasz Dudziak · Robert Mullins · Cheng-zhong Xu
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #64
Learning to Infer and Execute 3D Shape Programs
In Tue AM Posters
Yonglong Tian · Andrew Luo · Xingyuan Sun · Kevin Ellis · William Freeman · Joshua B Tenenbaum · Jiajun Wu
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #65
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer
In Tue AM Posters
Ori Press · Tomer Galanti · Sagie Benaim · Lior Wolf
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #66
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks
In Tue AM Posters
Reinhard Heckel · Paul Hand
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #67
AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking
In Tue AM Posters
Fangwei Zhong · peng sun · Wenhan Luo · Tingyun Yan · Yizhou Wang
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #68
Visual Semantic Navigation using Scene Priors
In Tue AM Posters
Wei Yang · Xiaolong Wang · Ali Farhadi · Abhinav Gupta · Roozbeh Mottaghi
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #69
Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution
In Tue AM Posters
Min Liu · Fupin Yao · Chiho Choi · Ayan Sinha · Karthik Ramani
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #70
DPSNet: End-to-end Deep Plane Sweep Stereo
In Tue AM Posters
Sunghoon Im · Hae-Gon Jeon · Stephen Lin · In Kweon
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #71
Learning what you can do before doing anything
In Tue AM Posters
Oleh Rybkin · Karl Pertsch · Kosta Derpanis · Kostas Daniilidis · Andrew Jaegle
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #72
Learning to Describe Scenes with Programs
In Tue AM Posters
Yunchao Liu · Zheng Wu · Daniel Ritchie · William Freeman · Joshua B Tenenbaum · Jiajun Wu
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #73
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
In Tue AM Posters
David Bau · Jun-Yan Zhu · Hendrik Strobelt · Bolei Zhou · Joshua Tenenbaum · William Freeman · Antonio Torralba
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #74
Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces
In Tue AM Posters
Senthil Purushwalkam · Abhinav Gupta · Danny Kaufman · Bryan Russell
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #75
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks
In Tue AM Posters
Xiuyuan Cheng · Qiang Qiu · Robert Calderbank · Guillermo Sapiro
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #76
code2seq: Generating Sequences from Structured Representations of Code
In Tue AM Posters
Uri Alon · Shaked Brody · Omer Levy · Eran Yahav
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #77
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation
In Tue AM Posters
Ehsan Hosseini-Asl · Yingbo Zhou · Caiming Xiong · richard socher
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #78
Learning Mixed-Curvature Representations in Product Spaces
In Tue AM Posters
Albert Gu · Frederic Sala · Beliz Gunel · Christopher Re
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #79
InstaGAN: Instance-aware Image-to-Image Translation
In Tue AM Posters
Sangwoo Mo · Minsu Cho · Jinwoo Shin
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #80
Multi-class classification without multi-class labels
In Tue AM Posters
Yen-Chang Hsu · Zhaoyang Lv · Joel Schlosser · Phillip Odom · Zsolt Kira
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #81
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods
In Tue AM Posters
Apratim Bhattacharyya · Mario Fritz · Bernt Schiele
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #82
Feature Intertwiner for Object Detection
In Tue AM Posters
Hongyang Li · Bo Dai · Shaoshuai Shi · Wanli Ouyang · Xiaogang Wang
[ PDF] 
Poster
Tue May 07 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #83
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
In Tue AM Posters
Anirudh Goyal · Philemon Brakel · William Fedus · Soumye Singhal · Timothy Lillicrap · Sergey Levine · Hugo Larochelle · Yoshua Bengio
[ PDF]