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Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Rethinking Supervised Pre-Training for Better Downstream Transferring
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
MAML is a Noisy Contrastive Learner in Classification
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
NeuPL: Neural Population Learning
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Learning Optimal Conformal Classifiers
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
OBJECT DYNAMICS DISTILLATION FOR SCENE DECOMPOSITION AND REPRESENTATION
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Augmented Sliced Wasserstein Distances
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Constrained Physical-Statistics Models for Dynamical System Identification and Prediction
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A First-Occupancy Representation for Reinforcement Learning
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
The Evolution of Uncertainty of Learning in Games
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Top-N: Equivariant Set and Graph Generation without Exchangeability
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Do We Need Anisotropic Graph Neural Networks?
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Relational Learning with Variational Bayes
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Learning meta-features for AutoML
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?"
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Delaunay Component Analysis for Evaluation of Data Representations
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Large-Scale Representation Learning on Graphs via Bootstrapping
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning to Downsample for Segmentation of Ultra-High Resolution Images
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Gradient Step Denoiser for convergent Plug-and-Play
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Unsupervised Vision-Language Grammar Induction with Shared Structure Modeling
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A Program to Build E(N)-Equivariant Steerable CNNs
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Sound Adversarial Audio-Visual Navigation
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
PiCO: Contrastive Label Disambiguation for Partial Label Learning
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Divergence-aware Federated Self-Supervised Learning
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Generative Principal Component Analysis
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Zero Pixel Directional Boundary by Vector Transform
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Measuring CLEVRness: Black-box Testing of Visual Reasoning Models
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
L0-Sparse Canonical Correlation Analysis
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Visual Representation Learning over Latent Domains
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Self-ensemble Adversarial Training for Improved Robustness
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Distributionally Robust Models with Parametric Likelihood Ratios
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Resolving Training Biases via Influence-based Data Relabeling
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Amortized Implicit Differentiation for Stochastic Bilevel Optimization
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Label-Efficient Semantic Segmentation with Diffusion Models
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Leveraging Automated Unit Tests for Unsupervised Code Translation
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Explainable GNN-Based Models over Knowledge Graphs
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Unrolling PALM for Sparse Semi-Blind Source Separation
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Transformers Can Do Bayesian Inference
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
StyleAlign: Analysis and Applications of Aligned StyleGAN Models
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Fooling Explanations in Text Classifiers
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Permutation Compressors for Provably Faster Distributed Nonconvex Optimization
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
On the Connection between Local Attention and Dynamic Depth-wise Convolution
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Handling Distribution Shifts on Graphs: An Invariance Perspective
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Neural Variational Dropout Processes
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Revisiting Over-smoothing in BERT from the Perspective of Graph
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Phase Collapse in Neural Networks
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning Efficient Online 3D Bin Packing on Packing Configuration Trees
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
miniF2F: a cross-system benchmark for formal Olympiad-level mathematics
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Self-Supervised Inference in State-Space Models
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Imitation Learning by Reinforcement Learning
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
DeSKO: Stability-Assured Robust Control with a Deep Stochastic Koopman Operator
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Enabling Arbitrary Translation Objectives with Adaptive Tree Search
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
On the approximation properties of recurrent encoder-decoder architectures
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Contrastive Fine-grained Class Clustering via Generative Adversarial Networks
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Autonomous Learning of Object-Centric Abstractions for High-Level Planning
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning Strides in Convolutional Neural Networks
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
VAE Approximation Error: ELBO and Exponential Families
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A Neural Tangent Kernel Perspective of Infinite Tree Ensembles
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning Graphon Mean Field Games and Approximate Nash Equilibria
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
A generalization of the randomized singular value decomposition