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Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Know Your Action Set: Learning Action Relations for Reinforcement Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Feature Kernel Distillation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
GradSign: Model Performance Inference with Theoretical Insights
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
POETREE: Interpretable Policy Learning with Adaptive Decision Trees
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
MetaMorph: Learning Universal Controllers with Transformers
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Cross-Lingual Transfer with Class-Weighted Language-Invariant Representations
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Shallow and Deep Networks are Near-Optimal Approximators of Korobov Functions
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Variational methods for simulation-based inference
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Selective Ensembles for Consistent Predictions
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Synchromesh: Reliable Code Generation from Pre-trained Language Models
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Differentiable Scaffolding Tree for Molecule Optimization
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Granger causal inference on DAGs identifies genomic loci regulating transcription
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Curriculum learning as a tool to uncover learning principles in the brain
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A NON-PARAMETRIC REGRESSION VIEWPOINT : GENERALIZATION OF OVERPARAMETRIZED DEEP RELU NETWORK UNDER NOISY OBSERVATIONS
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Open-Set Recognition: A Good Closed-Set Classifier is All You Need
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
BAM: Bayes with Adaptive Memory
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Predicting Physics in Mesh-reduced Space with Temporal Attention
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Associated Learning: an Alternative to End-to-End Backpropagation that Works on CNN, RNN, and Transformer
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Online Adversarial Attacks
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
The MultiBERTs: BERT Reproductions for Robustness Analysis
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Policy Gradients Incorporating the Future
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Finetuned Language Models are Zero-Shot Learners
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
VC dimension of partially quantized neural networks in the overparametrized regime
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Planning in Stochastic Environments with a Learned Model
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Label Encoding for Regression Networks
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Provably Robust Adversarial Examples
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
LOSSY COMPRESSION WITH DISTRIBUTION SHIFT AS ENTROPY CONSTRAINED OPTIMAL TRANSPORT
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
One After Another: Learning Incremental Skills for a Changing World
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Evaluating Distributional Distortion in Neural Language Modeling
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
On the Uncomputability of Partition Functions in Energy-Based Sequence Models
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Towards Model Agnostic Federated Learning Using Knowledge Distillation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Meta-Learning with Fewer Tasks through Task Interpolation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Transfer RL across Observation Feature Spaces via Model-Based Regularization
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Subspace Regularizers for Few-Shot Class Incremental Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Dual Lottery Ticket Hypothesis
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Scaling Laws for Neural Machine Translation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
GDA-AM: ON THE EFFECTIVENESS OF SOLVING MIN-IMAX OPTIMIZATION VIA ANDERSON MIXING
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Efficient Computation of Deep Nonlinear Infinite-Width Neural Networks that Learn Features
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Efficient Active Search for Combinatorial Optimization Problems
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
On the Role of Neural Collapse in Transfer Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Discrete Representations Strengthen Vision Transformer Robustness
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Bootstrapped Meta-Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Fairness Guarantees under Demographic Shift
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Generalized Kernel Thinning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A Fine-Tuning Approach to Belief State Modeling
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
The Uncanny Similarity of Recurrence and Depth
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Maximizing Ensemble Diversity in Deep Reinforcement Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Interpretable Unsupervised Diversity Denoising and Artefact Removal
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Trivial or Impossible --- dichotomous data difficulty masks model differences (on ImageNet and beyond)
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Learning Neural Contextual Bandits through Perturbed Rewards
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Stiffness-aware neural network for learning Hamiltonian systems
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Closed-form Sample Probing for Learning Generative Models in Zero-shot Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Optimizing Neural Networks with Gradient Lexicase Selection
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Learning Value Functions from Undirected State-only Experience
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
An Explanation of In-context Learning as Implicit Bayesian Inference
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Leveraging unlabeled data to predict out-of-distribution performance
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Permutation-Based SGD: Is Random Optimal?
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Revisiting flow generative models for Out-of-distribution detection
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Data-Driven Offline Optimization for Architecting Hardware Accelerators
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Prototype memory and attention mechanisms for few shot image generation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A global convergence theory for deep ReLU implicit networks via over-parameterization
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Provable Adaptation across Multiway Domains via Representation Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Triangle and Four Cycle Counting with Predictions in Graph Streams
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Expressiveness and Approximation Properties of Graph Neural Networks
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
What Happens after SGD Reaches Zero Loss? --A Mathematical Framework
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Policy Smoothing for Provably Robust Reinforcement Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Multitask Prompted Training Enables Zero-Shot Task Generalization
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
GradMax: Growing Neural Networks using Gradient Information
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Tighter Sparse Approximation Bounds for ReLU Neural Networks
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Improving Non-Autoregressive Translation Models Without Distillation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Is Importance Weighting Incompatible with Interpolating Classifiers?
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions