Papers
12094 papers
ICLR2024
Linear Log-Normal Attention with Unbiased Concentration
Summary pending...
Neural NetworksTransformersSelf-Attention
ICLR2024
Brain decoding: toward real-time reconstruction of visual perception
Summary pending...
brain decodingneuroimagingimage generation
ICLR2024
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
Summary pending...
Parameter-efficient Fine-tuningModel Capacity
ICLR2024
Leave-one-out Distinguishability in Machine Learning
Summary pending...
memorizationinfluence estimationinformation leakage
ICLR2024
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
Summary pending...
offline reinforcement learninghidden confoundinguncertainty quantification
ICLR2024
Near-Optimal Solutions of Constrained Learning Problems
Summary pending...
Constrained LearningConvex OptimizationDuality
ICLR2024
On the Reliability of Watermarks for Large Language Models
Summary pending...
Machine LearningLLMWatermark
ICLR2024
Chain-of-Experts: When LLMs Meet Complex Operations Research Problems
Summary pending...
Large Language ModelOperations Research
ICLR2024
Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images
Summary pending...
Weakly Supervised Object DetectionLimited Annotation TimeBounding Box Regression
ICLR2024
Convolutional Deep Kernel Machines
Summary pending...
Gaussian processinfinite-width neural networkNNGP
ICLR2024
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
Summary pending...
causal inferencerepresentation learningindividualized treatment effect estimation
ICLR2024
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
Summary pending...
Experimental DesignSupervised Feature SelectionMulti-Channel Imaging
ICLR2024
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Summary pending...
compressionsparsificationlarge language models
ICLR2024
Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods
Summary pending...
reinforcement learningpolicy gradientstochastic approximation
ICLR2024
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis
Summary pending...
Bilevel OptimizationUnbounded SmoothnessDeep Learning
ICLR2024
T-Rep: Representation Learning for Time Series using Time-Embeddings
Summary pending...
Multivariate time seriesSelf-supervisedTime series representations
ICLR2024
DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$
Summary pending...
novel view synthesisobject-centric scene representationscamera control
ICLR2024
Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
Summary pending...
Self-supervised LearningProbablistic Machine LearningProper Scoring Rule
ICLR2024
GAIA: Zero-shot Talking Avatar Generation
Summary pending...
Talking Avatar GenerationVideo GenerationDisentanglement
ICLR2024
CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
Summary pending...
Multiple Instance LearningHistopathologyNearest Neighbors