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Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Learning Subgoal Representations with Slow Dynamics
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
BOIL: Towards Representation Change for Few-shot Learning
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
On Self-Supervised Image Representations for GAN Evaluation
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Accurate Learning of Graph Representations with Graph Multiset Pooling
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Deep Repulsive Clustering of Ordered Data Based on Order-Identity Decomposition
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
PDE-Driven Spatiotemporal Disentanglement
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Multiscale Score Matching for Out-of-Distribution Detection
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Sample-Efficient Automated Deep Reinforcement Learning
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Practical Real Time Recurrent Learning with a Sparse Approximation
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
SkipW: Resource Adaptable RNN with Strict Upper Computational Limit
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Complex Query Answering with Neural Link Predictors
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Monte-Carlo Planning and Learning with Language Action Value Estimates
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Capturing Label Characteristics in VAEs
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Group Equivariant Stand-Alone Self-Attention For Vision
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Group Equivariant Conditional Neural Processes
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Prototypical Contrastive Learning of Unsupervised Representations
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Generalization in data-driven models of primary visual cortex
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Activation-level uncertainty in deep neural networks
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Scaling the Convex Barrier with Active Sets
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
What they do when in doubt: a study of inductive biases in seq2seq learners
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Disambiguating Symbolic Expressions in Informal Documents
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Lossless Compression of Structured Convolutional Models via Lifting
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Conformation-Guided Molecular Representation with Hamiltonian Neural Networks
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Improving Transformation Invariance in Contrastive Representation Learning
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Learning Accurate Entropy Model with Global Reference for Image Compression
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Intraclass clustering: an implicit learning ability that regularizes DNNs
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
A Distributional Approach to Controlled Text Generation
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
A Block Minifloat Representation for Training Deep Neural Networks
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
not-MIWAE: Deep Generative Modelling with Missing not at Random Data
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Contemplating Real-World Object Classification
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Auxiliary Learning by Implicit Differentiation
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Large-width functional asymptotics for deep Gaussian neural networks
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Generalized Multimodal ELBO
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Efficient Certified Defenses Against Patch Attacks on Image Classifiers
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
GraphCodeBERT: Pre-training Code Representations with Data Flow
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
A Universal Representation Transformer Layer for Few-Shot Image Classification
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Computational Separation Between Convolutional and Fully-Connected Networks
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Coping with Label Shift via Distributionally Robust Optimisation
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Prediction and generalisation over directed actions by grid cells
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Learning Incompressible Fluid Dynamics from Scratch - Towards Fast, Differentiable Fluid Models that Generalize
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Refining Deep Generative Models via Discriminator Gradient Flow
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Class Normalization for (Continual)? Generalized Zero-Shot Learning
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Probing BERT in Hyperbolic Spaces
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
FedMix: Approximation of Mixup under Mean Augmented Federated Learning
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Bayesian Context Aggregation for Neural Processes
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Effective Abstract Reasoning with Dual-Contrast Network