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Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Attentional Constellation Nets for Few-Shot Learning
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
On Graph Neural Networks versus Graph-Augmented MLPs
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Learning Safe Multi-agent Control with Decentralized Neural Barrier Certificates
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
DrNAS: Dirichlet Neural Architecture Search
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
RMSprop converges with proper hyper-parameter
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
A Discriminative Gaussian Mixture Model with Sparsity
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Generating Adversarial Computer Programs using Optimized Obfuscations
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Large Batch Simulation for Deep Reinforcement Learning
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
CompOFA – Compound Once-For-All Networks for Faster Multi-Platform Deployment
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
Fourier Neural Operator for Parametric Partial Differential Equations
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Hopper: Multi-hop Transformer for Spatiotemporal Reasoning
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Unsupervised Discovery of 3D Physical Objects
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
A Hypergradient Approach to Robust Regression without Correspondence
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Multi-resolution modeling of a discrete stochastic process identifies causes of cancer
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
Lipschitz Recurrent Neural Networks
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Behavioral Cloning from Noisy Demonstrations
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
Can a Fruit Fly Learn Word Embeddings?
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Mathematical Reasoning via Self-supervised Skip-tree Training
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Discovering Non-monotonic Autoregressive Orderings with Variational Inference
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
Usable Information and Evolution of Optimal Representations During Training
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
A unifying view on implicit bias in training linear neural networks
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Discrete Graph Structure Learning for Forecasting Multiple Time Series
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
DOP: Off-Policy Multi-Agent Decomposed Policy Gradients
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
Debiasing Concept-based Explanations with Causal Analysis
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
DDPNOpt: Differential Dynamic Programming Neural Optimizer
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
Mirostat: A Neural Text Decoding Algorithm That Directly Controls Perplexity
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Contextual Dropout: An Efficient Sample-Dependent Dropout Module
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Understanding the role of importance weighting for deep learning
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
The Importance of Pessimism in Fixed-Dataset Policy Optimization
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
Hierarchical Autoregressive Modeling for Neural Video Compression
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
A Temporal Kernel Approach for Deep Learning with Continuous-time Information
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Learning to Reach Goals via Iterated Supervised Learning
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Fantastic Four: Differentiable and Efficient Bounds on Singular Values of Convolution Layers
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Knowledge Distillation as Semiparametric Inference
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
Deep Equals Shallow for ReLU Networks in Kernel Regimes
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
Diverse Video Generation using a Gaussian Process Trigger
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST) @ Virtual
Topology-Aware Segmentation Using Discrete Morse Theory
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Dataset Inference: Ownership Resolution in Machine Learning
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning
[ Paper ]
Poster
Wed May 05 02:00 AM -- 04:00 AM (CEST)
Linear Mode Connectivity in Multitask and Continual Learning
[ Paper ]
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