Papers
12094 papers
ICLR2024
What's in a Prior? Learned Proximal Networks for Inverse Problems
Summary pending...
Inverse problemsProximal operatorsPlug-and-play
ICLR2024
Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach
Summary pending...
NTKneural tangent kernelsadversarial training
ICLR2024
Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing
Summary pending...
Diffusion ModelText-to-Image GenerationText-to-Video Editing
ICLR2024
CO2: Efficient Distributed Training with Full Communication-Computation Overlap
Summary pending...
Distributed TrainingData ParallelismLocal Updating
ICLR2024
Towards Poisoning Fair Representations
Summary pending...
data poisoning attackfair representation learningfairness
ICLR2024
Local Composite Saddle Point Optimization
Summary pending...
Saddle Point OptimizationDistributed OptimizationFederated Optimization
ICLR2024
Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
Summary pending...
Reinforcement LearningMulti-Task LearningMixture of Experts
ICLR2024
Neural Rate Control for Learned Video Compression
Summary pending...
Video compressionEnd-to-endLearning-based video coding
ICLR2024
Sliced Wasserstein Estimation with Control Variates
Summary pending...
Sliced WassersteinMonte Carlo MethodsPoint-Cloud
ICLR2024
Pre-Training and Fine-Tuning Generative Flow Networks
Summary pending...
Generative Flow Network (GFlowNets)Pre-trainGoal-conditioned
ICLR2024
Label-free Node Classification on Graphs with Large Language Models (LLMs)
Summary pending...
Node classificationGraph Neural NetworksLarge Language Models
ICLR2024
Compositional Preference Models for Aligning LMs
Summary pending...
language model alignmentpreference modelReinforcement Learning from Human Feedback (RLHF)
ICLR2024
Generative Sliced MMD Flows with Riesz Kernels
Summary pending...
sliced maximum mean discrepancyenergy distancegradient flows
ICLR2024
DMBP: Diffusion model-based predictor for robust offline reinforcement learning against state observation perturbations
Summary pending...
Robust Reinforcement LearningOffline Reinforcement LearningDiffusion Models
ICLR2024
OWL: A Large Language Model for IT Operations
Summary pending...
Large language modelIT operationsAIOps
ICLR2024
Efficient Streaming Language Models with Attention Sinks
Summary pending...
Large Language ModelsLength ExtrapolationEfficiency
ICLR2024
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
Summary pending...
Diffusion models; Inverse problems; Krylov subspace
ICLR2024
Perceptual Scales Predicted by Fisher Information Metrics
Summary pending...
perceptual scaleperceptual distancegaussian texture