Papers
12094 papers
ICLR2024
Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
Summary pending...
Canonical Correlation AnalysisMultiview LearningSelf-Supervised Learning
ICLR2024
On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation
Summary pending...
diffusionEDMDDIM
ICLR2024
Robust Training of Federated Models with Extremely Label Deficiency
Summary pending...
Federated LearningLabel Deficiency
ICLR2024
BadEdit: Backdooring Large Language Models by Model Editing
Summary pending...
Backdoor attackLarge Language Models
ICLR2024
Probabilistically Rewired Message-Passing Neural Networks
Summary pending...
GNNMPNNgraph
ICLR2024
Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs
Summary pending...
adversarial adaptive samplingoptimal transportneural network approximation of PDEs
ICLR2024
Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
Summary pending...
Neural Radiance FieldsShape from ImageGenerative 3D models
ICLR2024
Negative Label Guided OOD Detection with Pretrained Vision-Language Models
Summary pending...
OOD detection
ICLR2024
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
Summary pending...
BioinformaticsProtein-Protein InteractionProtein Sequence-Structure Co-Modeling
ICLR2024
RLIF: Interactive Imitation Learning as Reinforcement Learning
Summary pending...
Reinforcement learningimitation learningonline learning
ICLR2024
Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators
Summary pending...
Deep Neural NetworksQuantized Neural NetworksNetwork Quantization
ICLR2024
Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework
Summary pending...
Combinatorial OptimizationBranch and BoundDeep Symbolic Optimization
ICLR2024
Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
Summary pending...
continual learningbiasspurious correlation
ICLR2024
On Harmonizing Implicit Subpopulations
Summary pending...
imbalanced learningsubpopulation imbalance
ICLR2024
Neural Fourier Transform: A General Approach to Equivariant Representation Learning
Summary pending...
Fourier transformequivarianceharmonic analysis
ICLR2024
The optimality of kernel classifiers in Sobolev space
Summary pending...
kernel classificationminimax optimalityneural network classifiers
ICLR2024
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
Summary pending...
Out-of-Distribution generalizationSharpnessRobustness
ICLR2024
Training Unbiased Diffusion Models From Biased Dataset
Summary pending...
diffusion modeldensity ratio estimationdataset bias
ICLR2024
Out-of-Variable Generalisation for Discriminative Models
Summary pending...
Out-of-Variable GeneralizationCausality
ICLR2024
Bandits with Replenishable Knapsacks: the Best of both Worlds
Summary pending...
online learningbandits with knapsackbest-of-both-worlds