Papers
12094 papers
ICLR2024
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
Summary pending...
Diffusion Probabilistic ModelNeural ODEAdjoint Sensitivity Method
ICLR2024
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering
Summary pending...
Graph Matching; Joint Optimization; Unsupervised Learning
ICLR2024
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory
Summary pending...
Category Theory; Neural Networks Feature Complexity
ICLR2024
Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning
Summary pending...
Bayesian Deep LearningImplicit neural representationsProbabilistic machine learning
ICLR2024
Mean Field Theory in Deep Metric Learning
Summary pending...
deep metric learningimage retrievalmean field theory
ICLR2024
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
Summary pending...
Multi-modal learning;
ICLR2024
Diffusion Model for Dense Matching
Summary pending...
Diffusion ModelsVisual Correspondence
ICLR2024
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
Summary pending...
Tool usagelarge language modelbenchmark
ICLR2024
Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes
Summary pending...
High Dynamic Range Imaging; Self-Supervised Learning; Multi-Exposure Images
ICLR2024
AdaMerging: Adaptive Model Merging for Multi-Task Learning
Summary pending...
Multi-task LearningModel EditingTask Arithmetic
ICLR2024
Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction
Summary pending...
Speech Representation LearningSelf-supervised LearningMulti-resolution
ICLR2024
New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions
Summary pending...
zeroth-order gradienthard-thresholdingvariance reduction
ICLR2024
Human Motion Diffusion as a Generative Prior
Summary pending...
diffusionpriorcomposition
ICLR2024
Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures
Summary pending...
Deep Reinforcement LearningClassical PlanningGenetic Programming
ICLR2024
In-Context Learning Learns Label Relationships but Is Not Conventional Learning
Summary pending...
in-context learninglarge language models
ICLR2024
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
Summary pending...
Open-source Language ModelsFine-tuningMixed-quality Data
ICLR2024
Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting
Summary pending...
time series forecastinggenerative modelingdeep learning
ICLR2024
R-MAE: Regions Meet Masked Autoencoders
Summary pending...
self-supervised learningrepresentation learning
ICLR2024
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Summary pending...
Large Language ModelsQuantizationLoRA
ICLR2024
Image Inpainting via Tractable Steering of Diffusion Models
Summary pending...
Probabilistic MethodsTractable Probabilistic ModelsDiffusion Models