Papers
12094 papers
ICLR2024
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators
Summary pending...
Multivariate time series forecastingchannel dependencelead-lag relationships
ICLR2024
Proving Test Set Contamination in Black-Box Language Models
Summary pending...
language modelingmemorizationdataset contamination
ICLR2024
Multimarginal Generative Modeling with Stochastic Interpolants
Summary pending...
multi-marginalunsupervised learninggenerative modeling
ICLR2024
Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World
Summary pending...
graph learningnature-powered computingdynamic physical system
ICLR2024
Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning
Summary pending...
instruction tuningmultimodal large language modelhallucination
ICLR2024
In-context Autoencoder for Context Compression in a Large Language Model
Summary pending...
large language modelcontext compressionin-context autoencoder
ICLR2024
Bayesian Coreset Optimization for Personalized Federated Learning
Summary pending...
federated learningpersonalized federated learningbayesian coreset
ICLR2024
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
Summary pending...
Large Language ModelWorld KnowledgeEvolving Benchmark
ICLR2024
DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations
Summary pending...
Implicit neural representationgenerative modeldomain agnostic
ICLR2024
Manipulating dropout reveals an optimal balance of efficiency and robustness in biological and machine visual systems
Summary pending...
Efficient codingobject representationdropout
ICLR2024
Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
Summary pending...
Supervised contrastive learningneural collapseimplicit bias
ICLR2024
Debiased Collaborative Filtering with Kernel-Based Causal Balancing
Summary pending...
Recommender SystemCausal InferenceBias
ICLR2024
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
Summary pending...
language modelhallucinationtrustworthy artificial intelligence
ICLR2024
Partitioning Message Passing for Graph Fraud Detection
Summary pending...
Graph Neural NetworksFraud Detection
ICLR2024
Dynamics-Informed Protein Design with Structure Conditioning
Summary pending...
Diffusion ModelsGenerative ModelingProtein Design
ICLR2024
Learning to Reject with a Fixed Predictor: Application to Decontextualization
Summary pending...
Rejectionabstentionloss function
ICLR2024
Generalization error of spectral algorithms
Summary pending...
gradient descentkernel ridge regressionoptimal algorithm
ICLR2024
Robust Classification via Regression for Learning with Noisy Labels
Summary pending...
label noisenoisy labelsrobustness
ICLR2024
Social-Transmotion: Promptable Human Trajectory Prediction
Summary pending...
human trajectory predictionrobot navigationautonomous driving
ICLR2024
LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition
Summary pending...
hyperspectral imagingoptical modulationreal-time detection