Papers
12094 papers
ICLR2024
GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries
Summary pending...
AI InterpretabilityGraph Neural NetworksModel-Level Explanation of Neural Networks
ICLR2024
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations
Summary pending...
Partial differential equationsPhysics simulationDynamics learning
ICLR2024
Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation
Summary pending...
Heterogeneous Treatment Effect EstimationConditional Average Treatment EffectCausal Inference
ICLR2024
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach
Summary pending...
unsupervised domain translationtranslation identifiabilitydistribution matching
ICLR2024
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
Summary pending...
likelihood-based modelingdiffusion modelingdensity estimation
ICLR2024
Large Language Models to Enhance Bayesian Optimization
Summary pending...
bayesian optimizationLLMs
ICLR2024
Circuit Component Reuse Across Tasks in Transformer Language Models
Summary pending...
interpretabilityllmsmechanistic interpretability
ICLR2024
On the Variance of Neural Network Training with respect to Test Sets and Distributions
Summary pending...
stochasticitydistribution shiftrandomness
ICLR2024
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness
Summary pending...
machine learningadversarialmalware
ICLR2024
Optimistic Bayesian Optimization with Unknown Constraints
Summary pending...
Bayesian optimizationblack box constraintdecoupled query
ICLR2024
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
Summary pending...
Graph Representation LearningGraph Transformer
ICLR2024
To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets
Summary pending...
InterpretabilityGrokkingLabel noise
ICLR2024
Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation
Summary pending...
Meta Learning; Deep Learning Architecture; General Machine Learning
ICLR2024
Lie Group Decompositions for Equivariant Neural Networks
Summary pending...
equivariant neural networkslie groupsgroup convolution
ICLR2024
Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction
Summary pending...
Mesh deformationoptimal transportcortical surface reconstruction
ICLR2024
The Effectiveness of Random Forgetting for Robust Generalization
Summary pending...
Adversarial trainingrobust overfittingforgetting
ICLR2024
Memorization Capacity of Multi-Head Attention in Transformers
Summary pending...
Learning TheoryExpressivityMulti-Head Attention
ICLR2024
Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning
Summary pending...
reinforcement learningpre-traininggoal-conditioned RL
ICLR2024
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning
Summary pending...
Reinforcement LearningQuality DiversityRobotics
ICLR2024
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
Summary pending...
invariancelatent spacelatent comunication