Papers

12094 papers

ICLR2024

Understanding Expressivity of GNN in Rule Learning

Summary pending...

Graph Neural NetworksKG reasoningLink prediction
ICLR2024

Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models

Summary pending...

Label errorsdataset cleaningAI safety
ICLR2024

Correlated Noise Provably Beats Independent Noise for Differentially Private Learning

Summary pending...

differentially private optimizationstochastic gradient descentlinear regression theory
ICLR2024

Image Clustering Conditioned on Text Criteria

Summary pending...

image clusteringvision-language modelslarge language models
ICLR2024

Non-negative Contrastive Learning

Summary pending...

Contrastive LearningRepresentation LearningSelf-supervised Learning
ICLR2024

Understanding Domain Generalization: A Noise Robustness Perspective

Summary pending...

out-of-distribution generalizationdistribution shiftsspurious correlation
ICLR2024

DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Summary pending...

Influence functionData valuation
ICLR2024

Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization

Summary pending...

RobustAggregationDistributed
ICLR2024

Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning

Summary pending...

multimodal learninginformation bottlenecksentiment analysis
ICLR2024

Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement

Summary pending...

language modelnatural language processinginductive reasoning
ICLR2024

Training-free Multi-objective Diffusion Model for 3D Molecule Generation

Summary pending...

Multi-objective Diffusion Model3D Molecule
ICLR2024

Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders

Summary pending...

variational autoencodersposterior collapse
ICLR2024

What Algorithms can Transformers Learn? A Study in Length Generalization

Summary pending...

length generalizationsystematic generalizationunderstanding
ICLR2024

Ensemble Distillation for Unsupervised Constituency Parsing

Summary pending...

Constituency ParsingUnsupervised Grammar InductionKnowledge Distillation
ICLR2024

ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Summary pending...

Large Language ModelTool UseTree Search
ICLR2024

Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling

Summary pending...

Transfer LearningNonparametric LearningBayesian Neural Network
ICLR2024

Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback

Summary pending...

Reinforcement LearningIterated CVaRLearning Theory
ICLR2024

The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models

Summary pending...

Interpretable social bias
ICLR2024

Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts

Summary pending...

Mixture of ExpertsMaximum Likelihood EstimationVoronoi Loss Function
ICLR2024

Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models

Summary pending...

text-to-image generationoveroptimizationconfidence calibration