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Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Learning a subspace of policies for online adaptation in Reinforcement Learning
Jean-Baptiste Gaya · Laure Soulier · Ludovic Denoyer
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning
David Mguni · Taher Jafferjee · Jianhong Wang · Nicolas Perez-Nieves · Oliver Slumbers · Feifei Tong · · Jiangcheng Zhu · Yaodong Yang · Jun Wang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection
Liang Peng · Senbo Yan · Boxi Wu · Zheng Yang · Xiaofei He · Deng Cai
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Multi-Agent MDP Homomorphic Networks
Elise van der Pol · Herke van Hoof · Frans Oliehoek · Max Welling
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
On the Optimal Memorization Power of ReLU Neural Networks
Gal Vardi · Gilad Yehudai · Ohad Shamir
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
Model Agnostic Interpretability for Multiple Instance Learning
Joseph Early · Christine Evers · Sarvapali Ramchurn
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
NASPY: Automated Extraction of Automated Machine Learning Models
Xiaoxuan Lou · Shangwei Guo · Jiwei Li · Yaoxin Wu · Tianwei Zhang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL
Rui Yang · Yiming Lu · Wenzhe Li · Hao Sun · Meng Fang · Yali Du · Xiu Li · Lei Han · Chongjie Zhang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
On Distributed Adaptive Optimization with Gradient Compression
Xiaoyun Li · Belhal Karimi · Ping Li
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Distributionally Robust Fair Principal Components via Geodesic Descents
Hieu Vu · Toan Tran · Man-Chung Yue · Viet Anh Nguyen
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
On the Importance of Difficulty Calibration in Membership Inference Attacks
Lauren Watson · Chuan Guo · Graham Cormode · Alexandre Sablayrolles
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Online Facility Location with Predictions
Shaofeng Jiang · Erzhi Liu · You Lyu · Zhihao Tang · Yubo Zhang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness
Simon Geisler · Johanna Sommer · Jan Schuchardt · Aleksandar Bojchevski · Stephan Günnemann
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Neural Link Prediction with Walk Pooling
Liming Pan · Cheng Shi · Ivan Dokmanic
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Implicit Bias of Adversarial Training for Deep Neural Networks
Bochen Lyu · Zhanxing Zhu
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs
Ido Nachum · Jan Hązła · Michael Gastpar · Anatoly Khina
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
Mapping conditional distributions for domain adaptation under generalized target shift
Matthieu Kirchmeyer · alain rakotomamonjy · Emmanuel de Bézenac · patrick gallinari
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Learnability of convolutional neural networks for infinite dimensional input via mixed and anisotropic smoothness
Sho Okumoto · Taiji Suzuki
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference
Hyunseo Koh · Dahyun Kim · Jung-Woo Ha · Jonghyun Choi
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training
Wenyong Huang · Zhenhe Zhang · Yu Ting Yeung · Xin Jiang · Qun Liu
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Generalization Through the Lens of Leave-One-Out Error
Gregor Bachmann · Thomas Hofmann · Aurelien Lucchi
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
Normalization of Language Embeddings for Cross-Lingual Alignment
Prince Aboagye · Yan Zheng · Chin-Chia Michael Yeh · Junpeng Wang · Wei Zhang · Liang Wang · Hao Yang · Jeff Phillips
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
GATSBI: Generative Adversarial Training for Simulation-Based Inference
Poornima Ramesh · Jan-Matthis Lueckmann · Jan Boelts · Álvaro Tejero-Cantero · David Greenberg · Pedro Goncalves · Jakob Macke
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Discrepancy-Based Active Learning for Domain Adaptation
Antoine De mathelin · François Deheeger · Mathilde MOUGEOT · Nicolas Vayatis
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Learning Multimodal VAEs through Mutual Supervision
Tom Joy · Yuge Shi · Philip Torr · Tom Rainforth · Sebastian Schmon · Siddharth N
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
CycleMLP: A MLP-like Architecture for Dense Prediction
Shoufa Chen · Enze Xie · Chongjian GE · Runjian Chen · Ding Liang · Ping Luo
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Graphon based Clustering and Testing of Networks: Algorithms and Theory
Mahalakshmi Sabanayagam · Leena Chennuru Vankadara · Debarghya Ghoshdastidar
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Evaluating Model-Based Planning and Planner Amortization for Continuous Control
Arunkumar Byravan · Leonard Hasenclever · Piotr Trochim · Mehdi Mirza · Alessandro Ialongo · Yuval Tassa · Jost Tobias Springenberg · Abbas Abdolmaleki · Nicolas Heess · Josh Merel · Martin Riedmiller
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Frame Averaging for Invariant and Equivariant Network Design
Omri Puny · Matan Atzmon · Edward Smith · Ishan Misra · Aditya Grover · Heli Ben-Hamu · Yaron Lipman
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
Zhaoqi Leng · Mingxing Tan · Chenxi Liu · Ekin Cubuk · Jay Shi · Shuyang Cheng · Dragomir Anguelov
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization
Robert Csordas · Kazuki Irie · Jürgen Schmidhuber
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Switch to Generalize: Domain-Switch Learning for Cross-Domain Few-Shot Classification
zhengdong Hu · Yifan Sun · Yi Yang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks
Andrea Cini · Ivan Marisca · Cesare Alippi
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Conditioning Sequence-to-sequence Networks with Learned Activations
Alberto Gil Couto Pimentel Ramos · Abhinav Mehrotra · Nicholas Lane · Sourav Bhattacharya
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
On Redundancy and Diversity in Cell-based Neural Architecture Search
Xingchen Wan · Binxin Ru · Pedro Esperança · Zhenguo Li
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
RotoGrad: Gradient Homogenization in Multitask Learning
Adrián Javaloy · Isabel Valera
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
cosFormer: Rethinking Softmax In Attention
Qin Zhen · Weixuan Sun · Hui Deng · DONGXU LI · Yunshen Wei · Baohong Lv · Junjie Yan · Lingpeng Kong · Yiran Zhong
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
Chenjia Bai · Lingxiao Wang · Zhuoran Yang · Zhihong Deng · Animesh Garg · Peng Liu · Zhaoran Wang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Proving the Lottery Ticket Hypothesis for Convolutional Neural Networks
Arthur da Cunha · Emanuele Natale · Laurent Viennot
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions
Bertrand Charpentier · Oliver Borchert · Daniel Zügner · Simon Geisler · Stephan Günnemann
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound
Claudio Ferrari · Mark N Müller · Nikola Jovanović · Martin Vechev
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Learning Super-Features for Image Retrieval
Philippe Weinzaepfel · Thomas Lucas · Diane Larlus · Yannis Kalantidis
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
Chulhee Yun · Shashank Rajput · Suvrit Sra
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
Deep Attentive Variational Inference
Ifigeneia Apostolopoulou · Ian Char · Elan Rosenfeld · Artur Dubrawski
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Case-based reasoning for better generalization in textual reinforcement learning
Mattia Atzeni · Shehzaad Dhuliawala · Keerthiram Murugesan · Mrinmaya Sachan
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
FP-DETR: Detection Transformer Advanced by Fully Pre-training
Wen Wang · Yang Cao · Jing Zhang · Dacheng Tao
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Spike-inspired rank coding for fast and accurate recurrent neural networks
Alan Jeffares · Qinghai Guo · Pontus Stenetorp · Timoleon Moraitis
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Learning transferable motor skills with hierarchical latent mixture policies
Dushyant Rao · Fereshteh Sadeghi · Leonard Hasenclever · Markus Wulfmeier · Martina Zambelli · Giulia Vezzani · Dhruva Tirumala · Yusuf Aytar · Josh Merel · Nicolas Heess · Raia Hadsell
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Visual hyperacuity with moving sensor and recurrent neural computations
Alexander Rivkind · Or Ram · Eldad Assa · Michael Kreiserman · Ehud Ahissar
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
GRAND++: Graph Neural Diffusion with A Source Term
Matthew Thorpe · Tan M Nguyen · Hedi Xia · Thomas Strohmer · Andrea Bertozzi · Stanley J Osher · Bao Wang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Multi-Task Processes
Donggyun Kim · Seongwoong Cho · Wonkwang Lee · Seunghoon Hong
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT) @ Virtual
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models
Zaccharie Ramzi · Florian Mannel · Shaojie Bai · Jean-Luc Starck · Philippe Ciuciu · Thomas Moreau
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
When should agents explore?
Miruna Pîslar · David Szepesvari · Georg Ostrovski · Diana Borsa · Tom Schaul
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
How to Train Your MAML to Excel in Few-Shot Classification
Han-Jia Ye · Wei-Lun Chao
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Understanding and Preventing Capacity Loss in Reinforcement Learning
Clare Lyle · Mark Rowland · Will Dabney
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Optimal Transport for Causal Discovery
Ruibo Tu · Kun Zhang · Hedvig Kjellström · Cheng Zhang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream
Franziska Geiger · Martin Schrimpf · Tiago Marques · James DiCarlo
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
On the Limitations of Multimodal VAEs
Imant Daunhawer · Thomas Sutter · Kieran Chin-Cheong · Emanuele Palumbo · Julia E Vogt
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
What’s Wrong with Deep Learning in Tree Search for Combinatorial Optimization
Maximilian Böther · Otto Kißig · Martin Taraz · Sarel Cohen · Karen Seidel · Tobias Friedrich
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation
Boyan Li · Hongyao Tang · YAN ZHENG · Jianye HAO · Pengyi Li · Zhen Wang · Zhaopeng Meng · LI Wang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
iFlood: A Stable and Effective Regularizer
Yuexiang Xie · Zhen WANG · Yaliang Li · Ce Zhang · Jingren Zhou · Bolin Ding
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
When, Why, and Which Pretrained GANs Are Useful?
Timofey Grigoryev · Andrey Voynov · Artem Babenko
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Anomaly Detection for Tabular Data with Internal Contrastive Learning
Tom Shenkar · Lior Wolf
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
MonoDistill: Learning Spatial Features for Monocular 3D Object Detection
Zhiyu Chong · Xinzhu Ma · Hong Zhang · Yuxin Yue · Haojie Li · Zhihui Wang · Wanli Ouyang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi · Anh Tuan Luu · Thomas Laurent · Yoshua Bengio · Xavier Bresson
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Fast Differentiable Matrix Square Root
Yue Song · Nicu Sebe · Wei Wang
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Attacking deep networks with surrogate-based adversarial black-box methods is easy
Nicholas A. Lord · Romain Mueller · Luca Bertinetto
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Neural Network Approximation based on Hausdorff distance of Tropical Zonotopes
Panagiotis Misiakos · Georgios Smyrnis · George Retsinas · Petros Maragos
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
On-Policy Model Errors in Reinforcement Learning
Lukas Fröhlich · Maksym Lefarov · Melanie Zeilinger · Felix Berkenkamp
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
NETWORK INSENSITIVITY TO PARAMETER NOISE VIA PARAMETER ATTACK DURING TRAINING
Julian Büchel · Fynn Faber · Dylan R Muir
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Neural graphical modelling in continuous-time: consistency guarantees and algorithms
Alexis Bellot · Kim Branson · Mihaela van der Schaar
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
Discovering Latent Concepts Learned in BERT
Fahim Dalvi · Abdul Khan · Firoj Alam · Nadir Durrani · Jia Xu · Hassan Sajjad
Poster
Wed Apr 27 02:30 AM -- 04:30 AM (PDT)
A fast and accurate splitting method for optimal transport: analysis and implementation
Vien Mai · Jacob Lindbäck · Mikael Johansson