Papers

12094 papers

ICLR2024

The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning

Summary pending...

large language modelscalingin-context learning
ICLR2024

Course Correcting Koopman Representations

Summary pending...

KoopmanAutoencodersDynamical Systems
ICLR2024

AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation

Summary pending...

out-of-domain knowledge distillationmixup learningdomain shift
ICLR2024

From Posterior Sampling to Meaningful Diversity in Image Restoration

Summary pending...

Image restorationDiverse image restorationInverse problems
ICLR2024

A Simple and Scalable Representation for Graph Generation

Summary pending...

Graph generative modelsgraph neural networksgraph representation
ICLR2024

JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling

Summary pending...

Generative AIComputer VisionMachine Learning
ICLR2024

Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem

Summary pending...

regularizationregressionoptimization
ICLR2024

Enhancing Neural Training via a Correlated Dynamics Model

Summary pending...

dynamics modelingtraining analysislow dimensional model for training
ICLR2024

Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

Summary pending...

uncertainty quantificationuncertainty estimationcalibration
ICLR2024

Entity-Centric Reinforcement Learning for Object Manipulation from Pixels

Summary pending...

deep reinforcement learningvisual reinforcement learningobject-centric
ICLR2024

Unknown Domain Inconsistency Minimization for Domain Generalization

Summary pending...

RobustnessDomain generalizationSharpness-Aware Minimization
ICLR2024

On the Limitations of Temperature Scaling for Distributions with Overlaps

Summary pending...

calibrationtemperature scalingmixup
ICLR2024

Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation

Summary pending...

Source SeparationDeep LearningDiffusion Models
ICLR2024

Fixed-Budget Differentially Private Best Arm Identification

Summary pending...

Best Arm IdentificationDifferential Privacy
ICLR2024

Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs

Summary pending...

knowledge graph reasoninggraph sampling
ICLR2024

Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning

Summary pending...

Mixture of ExpertsParameter-Efficient Fine-Tuning
ICLR2024

Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive

Summary pending...

diffusion modelslayout-to-imagedomain generalization
ICLR2024

Intelligent Switching for Reset-Free RL

Summary pending...

Reset-Free RL
ICLR2024

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Summary pending...

Image SynthesisDiffusionGenerative AI
ICLR2024

Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness

Summary pending...

out-of-distribution detectiondeep neural networkstransformers