Papers
12094 papers
ICLR2024
Learning From Simplicial Data Based on Random Walks and 1D Convolutions
Summary pending...
simplicial complexsimplicial neural networkrandom walks
ICLR2024
TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts
Summary pending...
Traffic PredictionDeep LearningSpatio-Temporal data modeling
ICLR2024
An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks
Summary pending...
Equivariant networksSO(3) EquivarianceFourier features
ICLR2024
CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objects
Summary pending...
pretrainingroboticsmanipulation
ICLR2024
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
Summary pending...
Selective RationalizationShortcut
ICLR2024
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
Summary pending...
Anomaly detectionZero-shot anomaly detectionCLIP
ICLR2024
Gradual Optimization Learning for Conformational Energy Minimization
Summary pending...
energy minimizationconformational optimizationgeometry optimization
ICLR2024
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability
Summary pending...
Graph neural networksGraph canonizationStability
ICLR2024
$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
Summary pending...
Variational autoencoderInformation geometryHeavy-tail learning
ICLR2024
Generalized Policy Iteration using Tensor Approximation for Hybrid Control
Summary pending...
Optimal ControlHybrid ActionsRobotics
ICLR2024
Multilingual Jailbreak Challenges in Large Language Models
Summary pending...
multilingualsafetylarge language models
ICLR2024
Demonstration-Regularized RL
Summary pending...
reinforcement learningregularization in reinforcement leaninglearning with demonstrations
ICLR2024
Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems
Summary pending...
mean-field Langevin dynamicsminimax optimizationzero-sum games
ICLR2024
Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching
Summary pending...
Mechanistic InterpretabilityNatural Language ProcessingLarge Language Models
ICLR2024
Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
Summary pending...
Extreme ClassificationExtreme Multi-Label Learning
ICLR2024
Bellman Optimal Stepsize Straightening of Flow-Matching Models
Summary pending...
flow matchinggenerative modelefficient sampling
ICLR2024
Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
Summary pending...
Graph anomaly detectionconsistency traininglearnable data augmentation
ICLR2024
Mirage: Model-agnostic Graph Distillation for Graph Classification
Summary pending...
graph distillationgraph classificationfrequent pattern mining
ICLR2024
Test-time Adaptation against Multi-modal Reliability Bias
Summary pending...
Test-time adaptionImbalanced multi-modal learning