Papers
12094 papers
ICLR2025
qNBO: quasi-Newton Meets Bilevel Optimization
Summary pending...
bilevel optimizationquasi-Newtonconvergence analysis
ICLR2025
AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution
Summary pending...
Image Super-ResolutionKnowledge DistillationModel Compression
ICLR2025
Diffusion-based Decoupled Deterministic and Uncertain Framework for Probabilistic Multivariate Time Series Forecasting
Summary pending...
long-term time series forecastingdeep learningdiffusion model
ICLR2025
SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour
Summary pending...
neuroscience; place cells; grid cells; representations; neural data; hippocampus;
ICLR2025
Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing
Summary pending...
parallel and distributed optimizationNewton methodMarchenko-Pastur law
ICLR2025
Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
Summary pending...
Direct Preference OptimizationDPOLikelihood Displacement
ICLR2025
Advantage-Guided Distillation for Preference Alignment in Small Language Models
Summary pending...
Preference Alignment; Large language model; Knowledge Distillation; Advantage Function
ICLR2025
Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions
Summary pending...
bilevel optimizationconstrained optimizationgap function
ICLR2025
Uncovering Overfitting in Large Language Model Editing
Summary pending...
Large language modelsKnowledge editingEditing overfit
ICLR2025
Generating Likely Counterfactuals Using Sum-Product Networks
Summary pending...
counterfactual explanationsmixed-integer optimizationsum-product networks
ICLR2025
Multi-Dimensional Conformal Prediction
Summary pending...
classificationconformal predictionuncertainty quantification
ICLR2025
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Summary pending...
Diffusion modelsRepresentation learning
ICLR2025
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
Summary pending...
Graph Neural NetworkGraphEdge
ICLR2025
Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data
Summary pending...
long-contextreasoningLLM
ICLR2025
BANGS: Game-theoretic Node Selection for Graph Self-Training
Summary pending...
Graph Semi-supervised LearningGraph Self-trainingGame Theory Application
ICLR2025
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
Summary pending...
computer visionadversarial defenseadversarial robustness
ICLR2025
Bridging the Gap between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo
Summary pending...
Protein IdentificationMass SpectrumProteomics
ICLR2025
How Far Are We from True Unlearnability?
Summary pending...
shortcut learningunlearnable datasetloss landscape
ICLR2025
Towards a Complete Logical Framework for GNN Expressiveness
Summary pending...
graph neural networkslogic
ICLR2025
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
Summary pending...
in-context reinforcement learningreinforcement learningxland