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Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Learning to Generate 3D Shapes with Generative Cellular Automata
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Emergent Symbols through Binding in External Memory
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
A Geometric Analysis of Deep Generative Image Models and Its Applications
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
CPR: Classifier-Projection Regularization for Continual Learning
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Combining Physics and Machine Learning for Network Flow Estimation
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Efficient Empowerment Estimation for Unsupervised Stabilization
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Improved Autoregressive Modeling with Distribution Smoothing
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Evaluating the Disentanglement of Deep Generative Models through Manifold Topology
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
AdaSpeech: Adaptive Text to Speech for Custom Voice
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Simple Augmentation Goes a Long Way: ADRL for DNN Quantization
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Adaptive Procedural Task Generation for Hard-Exploration Problems
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
gradSim: Differentiable simulation for system identification and visuomotor control
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Evaluations and Methods for Explanation through Robustness Analysis
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Better Fine-Tuning by Reducing Representational Collapse
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
BERTology Meets Biology: Interpreting Attention in Protein Language Models
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Economic Hyperparameter Optimization With Blended Search Strategy
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Robust Overfitting may be mitigated by properly learned smoothening
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
DiffWave: A Versatile Diffusion Model for Audio Synthesis
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Measuring Massive Multitask Language Understanding
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Learning Manifold Patch-Based Representations of Man-Made Shapes
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Filtered Inner Product Projection for Crosslingual Embedding Alignment
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Adaptive Universal Generalized PageRank Graph Neural Network
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Efficient Conformal Prediction via Cascaded Inference with Expanded Admission
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Efficient Wasserstein Natural Gradients for Reinforcement Learning
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Effective and Efficient Vote Attack on Capsule Networks
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Learning with Feature-Dependent Label Noise: A Progressive Approach
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Model-Based Visual Planning with Self-Supervised Functional Distances
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Control-Aware Representations for Model-based Reinforcement Learning
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
On the Critical Role of Conventions in Adaptive Human-AI Collaboration
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Wandering within a world: Online contextualized few-shot learning
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Mixed-Features Vectors and Subspace Splitting
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Graph-Based Continual Learning
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Revisiting Dynamic Convolution via Matrix Decomposition
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Is Attention Better Than Matrix Decomposition?
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Beyond Categorical Label Representations for Image Classification
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Evolving Reinforcement Learning Algorithms
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Mind the Pad -- CNNs Can Develop Blind Spots
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Estimating Lipschitz constants of monotone deep equilibrium models
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT) @ Virtual
Learning and Evaluating Representations for Deep One-Class Classification
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Fast And Slow Learning Of Recurrent Independent Mechanisms
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Estimating informativeness of samples with Smooth Unique Information
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Protecting DNNs from Theft using an Ensemble of Diverse Models
[ Paper ]
Poster
Wed May 05 05:00 PM -- 07:00 PM (PDT)
Influence Functions in Deep Learning Are Fragile
[ Paper ]