Papers
12094 papers
ICLR2024
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models
Summary pending...
Diffusion ModelsExpressive BottleneckSoft Mixture Denoising (SMD)
ICLR2024
The Update-Equivalence Framework for Decision-Time Planning
Summary pending...
imperfect-information gamessearchdecision-time planning
ICLR2024
On Error Propagation of Diffusion Models
Summary pending...
Diffusion ModelsError PropagationTheoretical Explanation
ICLR2024
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
Summary pending...
contrastive language image pretrainingmultimodal learningfairness
ICLR2024
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
Summary pending...
graph neural network
ICLR2024
Multi-Resolution Diffusion Models for Time Series Forecasting
Summary pending...
diffusion modeltime seriesmultiscale
ICLR2024
DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training
Summary pending...
gradient-free learningzeroth-order optimizationgradient sparsity
ICLR2024
The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
Summary pending...
Large Language modelsTransformersLow-rank approximation
ICLR2024
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders
Summary pending...
cross-encoderkNNretrieval
ICLR2024
Provable Reward-Agnostic Preference-Based Reinforcement Learning
Summary pending...
reinforcement learning theoryreward-agnostic learning
ICLR2024
Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
Summary pending...
multimodal learningmultimodal interactionsinformation theory
ICLR2024
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
Summary pending...
Contextual IntegrityPrivacyTheory of Mind
ICLR2024
Provable Offline Preference-Based Reinforcement Learning
Summary pending...
reinforcement learning theoryoffline reinforcement learning
ICLR2024
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
Summary pending...
Reinforcement Learning; Multitask Learning; Exploration
ICLR2024
JoMA: Demystifying Multilayer Transformers via Joint Dynamics of MLP and Attention
Summary pending...
multilayer transformertraining dynamicstheoretical analysis
ICLR2024
Robustifying State-space Models for Long Sequences via Approximate Diagonalization
Summary pending...
state-space modelssequence modelsLong-Range Arena
ICLR2024
Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization
Summary pending...
OptimizationFirst-order optimizationNon-convex optimization
ICLR2024
COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery
Summary pending...
peripheral visionobject detectiondataset
ICLR2024
Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates
Summary pending...
reinforcement learningdata augmentationmodel-free
ICLR2024
Multimodal Molecular Pretraining via Modality Blending
Summary pending...
multimodal molecular pretrainingmolecular representation learningmodality blending