Papers
12094 papers
ICLR2024
PAC Prediction Sets Under Label Shift
Summary pending...
prediction setlabel shiftdistribution-free uncertainty quantification
ICLR2024
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control
Summary pending...
Low-ranksparsityclosed-loop
ICLR2024
On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters
Summary pending...
WL testgraph neural networksgraph motif parameters
ICLR2024
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
Summary pending...
Autonomous AgentMeta ProgrammingMulti-Agent Society
ICLR2024
Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity
Summary pending...
RL TheoryLow adaptive RLLinear RL
ICLR2024
A differentiable brain simulator bridging brain simulation and brain-inspired computing
Summary pending...
brain simulatorbrain simulationcomputational neuroscience
ICLR2024
An improved analysis of per-sample and per-update clipping in federated learning
Summary pending...
optimizationclippingfederated learning
ICLR2024
Symmetric Single Index Learning
Summary pending...
single-indexsymmetricpermutation invariant
ICLR2024
Hybrid Sharing for Multi-Label Image Classification
Summary pending...
Multi-task learningMulti-label learningmixture-of-experts
ICLR2024
General Stability Analysis for Zeroth-Order Optimization Algorithms
Summary pending...
Stability Analysis; Zeroth-Order Optimization; Black-Box Learning
ICLR2024
Diving Segmentation Model into Pixels
Summary pending...
Semantic SegmentationPixel LearningRepresentation Learning
ICLR2024
On Adversarial Training without Perturbing all Examples
Summary pending...
adversarial robustnessadversarial trainingadversarial robust transfer
ICLR2024
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
Summary pending...
diffusion modelsscore-based modelsdiversity
ICLR2024
Hybrid Directional Graph Neural Network for Molecules
Summary pending...
Graph Neural Networks; Equivariance; Molecular model
ICLR2024
StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning
Summary pending...
Graph Contrastive LearningScalable TrainingStructural Compression
ICLR2024
TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks
Summary pending...
Temporal Batch NormalizationSpiking Neural Networks
ICLR2024
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior
Summary pending...
Mean Field ControlMulti-Agent Reinforcement LearningPartial Observability
ICLR2024
Maximum Entropy Heterogeneous-Agent Reinforcement Learning
Summary pending...
cooperative multi-agent reinforcement learningheterogeneous-agent soft actor-criticmaximum entropy heterogeneous-agent mirror learning
ICLR2024
Rethinking the Uniformity Metric in Self-Supervised Learning
Summary pending...
Effective uniformity metricsdimensional collapseWasserstein distance