Papers
12094 papers
ICLR2024
Scaling Convex Neural Networks with Burer-Monteiro Factorization
Summary pending...
burer-monteiroconvex optimizationneural networks
ICLR2024
LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models
Summary pending...
quantizationcompressionlarge language models
ICLR2024
CoLiDE: Concomitant Linear DAG Estimation
Summary pending...
directed acyclic graphconcomitant scale estimationcausal discovery
ICLR2024
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning
Summary pending...
time-seriescontrastive learningmasked reconstruction
ICLR2024
Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning
Summary pending...
Self-consistencyChain-of-ThoughtsMulti-Step Reasoning
ICLR2024
Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning
Summary pending...
FairnessMulti-Agent Reinforcement LearningMarkov Decision Process
ICLR2024
Implicit Gaussian process representation of vector fields over arbitrary latent manifolds
Summary pending...
Gaussian processesneurosciencevector field
ICLR2024
Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation
Summary pending...
Diffusion Models；text-vision Condition；
ICLR2024
HiGen: Hierarchical Graph Generative Networks
Summary pending...
Generative ModelsGraph Generative NetworkGraph Neural Network
ICLR2024
MCM: Masked Cell Modeling for Anomaly Detection in Tabular Data
Summary pending...
anomaly detectiontabular dataself-supervised learning
ICLR2024
A Fast and Provable Algorithm for Sparse Phase Retrieval
Summary pending...
Sparse Phase RetrievalQuadratic ConvergenceNewton-type Method
ICLR2024
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency
Summary pending...
Backdoor DetectionBackdoor AttackData Poisoning
ICLR2024
Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
Summary pending...
data-centric AIhardness characterizationdata-centric ML
ICLR2024
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
Summary pending...
Diffusion Models; Score-based Models; Generative Models; Generative AI; Deep Generative Models; Distillation Models
ICLR2024
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning
Summary pending...
model-based offline reinforcement learningdynamics rewardreward-consistent dynamics model learning
ICLR2024
Consistent algorithms for multi-label classification with macro-at-$k$ metrics
Summary pending...
multi-label classificationcomplex performance metricsmacro-at-k
ICLR2024
Minimax optimality of convolutional neural networks for infinite dimensional input-output problems and separation from kernel methods
Summary pending...
neural networknonlinear operator learningconvolutional network
ICLR2024
Tool-Augmented Reward Modeling
Summary pending...
Reward ModelLarge Language ModelTool Learning
ICLR2024
A Differentially Private Clustering Algorithm for Well-Clustered Graphs
Summary pending...
differential privacygraph clusteringsemidefinite programming
ICLR2024
Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace
Summary pending...
dataset documentationdata-centric AIlarge-scale analysis