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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #43
Few-shot Backdoor Attacks via Neural Tangent Kernels
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #38
Mid-Vision Feedback
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #57
Markup-to-Image Diffusion Models with Scheduled Sampling
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #37
Language models are multilingual chain-of-thought reasoners
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #56
Language Models Can Teach Themselves to Program Better
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #36
A Non-monotonic Self-terminating Language Model
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #55
DiffusER: Diffusion via Edit-based Reconstruction
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #35
Understanding Embodied Reference with Touch-Line Transformer
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #54
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #34
Active Image Indexing
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #53
Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #33
Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #52
Agent-based Graph Neural Networks
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #32
Limitless Stability for Graph Convolutional Networks
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #51
The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #31
Rethinking the Expressive Power of GNNs via Graph Biconnectivity
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #50
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #30
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #49
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #29
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #48
QuAnt: Quantum Annealing with Learnt Couplings
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #28
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #47
Treeformer: Dense Gradient Trees for Efficient Attention Computation
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #27
Latent Bottlenecked Attentive Neural Processes
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #46
The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #26
Multi-lingual Evaluation of Code Generation Models
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #25
DFPC: Data flow driven pruning of coupled channels without data.
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #44
The Lie Derivative for Measuring Learned Equivariance
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #24
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #23
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #42
Scaling Forward Gradient With Local Losses
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #22
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #41
The Curious Case of Benign Memorization
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #21
Topology-aware Robust Optimization for Out-of-Distribution Generalization
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #40
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #20
This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #39
ODAM: Gradient-based Instance-Specific Visual Explanations for Object Detection
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #58
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #77
DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #59
Leveraging Unlabeled Data to Track Memorization
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #78
Data Valuation Without Training of a Model
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #60
Multivariate Time-series Imputation with Disentangled Temporal Representations
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #79
Learning to Compose Soft Prompts for Compositional Zero-Shot Learning
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #61
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #62
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #81
Sign and Basis Invariant Networks for Spectral Graph Representation Learning
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #63
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #82
Unicom: Universal and Compact Representation Learning for Image Retrieval
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #64
Online Boundary-Free Continual Learning by Scheduled Data Prior
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #83
Efficient Conditionally Invariant Representation Learning
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #65
Learning to Extrapolate: A Transductive Approach
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #84
FedFA: Federated Feature Augmentation
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #66
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #85
Omnigrok: Grokking Beyond Algorithmic Data
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #67
Backpropagation through Combinatorial Algorithms: Identity with Projection Works
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #86
Neural Radiance Field Codebooks
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #68
Autoregressive Conditional Neural Processes
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #87
Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #69
FIT: A Metric for Model Sensitivity
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #70
Classically Approximating Variational Quantum Machine Learning with Random Fourier Features
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #89
Label Propagation with Weak Supervision
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #71
Learning to CROSS exchange to solve min-max vehicle routing problems
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #90
Continual Pre-training of Language Models
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #72
Diffusion Probabilistic Fields
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #91
FunkNN: Neural Interpolation for Functional Generation
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #92
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #93
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #75
The Role of ImageNet Classes in Fréchet Inception Distance
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #94
3D generation on ImageNet
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #95
LDMIC: Learning-based Distributed Multi-view Image Coding
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #114
Learning multi-scale local conditional probability models of images
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #133
Learning Diffusion Bridges on Constrained Domains
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #113
StyleMorph: Disentangled 3D-Aware Image Synthesis with a 3D Morphable StyleGAN
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #132
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #112
A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #131
E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #111
Sampling-free Inference for Ab-Initio Potential Energy Surface Networks
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #130
Actionable Neural Representations: Grid Cells from Minimal Constraints
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #110
Training language models to summarize narratives improves brain alignment
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #109
Sparsity-Constrained Optimal Transport
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #128
Noise Is Not the Main Factor Behind the Gap Between Sgd and Adam on Transformers, But Sign Descent Might Be
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #108
Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #127
Efficient Discrete Multi Marginal Optimal Transport Regularization
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #107
ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #126
Sampling-based inference for large linear models, with application to linearised Laplace
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #106
Bridge the Inference Gaps of Neural Processes via Expectation Maximization
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #125
Estimating individual treatment effects under unobserved confounding using binary instruments
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #105
Imitating Human Behaviour with Diffusion Models
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #124
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #104
Integrating Symmetry into Differentiable Planning with Steerable Convolutions
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #123
Transformer-based World Models Are Happy With 100k Interactions
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #103
Adversarial Diversity in Hanabi
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #122
On the Sensitivity of Reward Inference to Misspecified Human Models
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #102
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #121
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #101
Provable Sim-to-real Transfer in Continuous Domain with Partial Observations
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #120
Understanding and Adopting Rational Behavior by Bellman Score Estimation
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #100
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #119
Dichotomy of Control: Separating What You Can Control from What You Cannot
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #99
Adversarial Imitation Learning with Preferences
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #118
SMART: Self-supervised Multi-task pretrAining with contRol Transformers
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #98
Efficient Planning in a Compact Latent Action Space
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #45
Hyperbolic Deep Reinforcement Learning
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #97
Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #116
A Mixture-of-Expert Approach to RL-based Dialogue Management
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #96
Efficient Deep Reinforcement Learning Requires Regulating Overfitting
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #115
Large Language Models are Human-Level Prompt Engineers
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #134
Holistic Adversarially Robust Pruning
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #153
FaiREE: fair classification with finite-sample and distribution-free guarantee
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #135
Efficient Certified Training and Robustness Verification of Neural ODEs
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #154
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #136
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #155
GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #137
Easy Differentially Private Linear Regression
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #156
Revisiting Robustness in Graph Machine Learning
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Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #138
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning
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OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #157
Tuning Frequency Bias in Neural Network Training with Nonuniform Data
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Poster]
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OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #139
Adaptive Optimization in the $\infty$-Width Limit
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Poster]
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OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #158
How Sharpness-Aware Minimization Minimizes Sharpness?
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OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #140
Mini-batch $k$-means terminates within $O(d/\epsilon)$ iterations
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Poster]
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OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #159
Fundamental limits on the robustness of image classifiers
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Poster]
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OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #141
Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement
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OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #160
Interpretations of Domain Adaptations via Layer Variational Analysis
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Poster]
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OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #142
Long-Tailed Learning Requires Feature Learning
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Poster]
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OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #161
Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses
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Slides]
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Poster]
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OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #143
KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals
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Poster]
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OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #162
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
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Poster]
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OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #144
Link Prediction with Non-Contrastive Learning
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Poster]
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OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #145
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism
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Poster]
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OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #164
DINO as a von Mises-Fisher mixture model
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OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #146
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
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Poster]
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OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #165
On the duality between contrastive and non-contrastive self-supervised learning
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Poster]
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OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #147
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
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Poster]
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OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #166
Self-supervised learning with rotation-invariant kernels
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Poster]
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OpenReview]