Papers

12094 papers

ICLR2024

One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention

Summary pending...

Linear Self-AttentionIn-context learningGradient Descent
ICLR2024

PAE: Reinforcement Learning from External Knowledge for Efficient Exploration

Summary pending...

Reinforcement learningexplorationintrinsic motivation
ICLR2024

Deep Orthogonal Hypersphere Compression for Anomaly Detection

Summary pending...

Anomaly DetectionDeep Learning
ICLR2024

Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients

Summary pending...

Personalized Federated LearningInvariant LearningCausality
ICLR2024

ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF

Summary pending...

NeRFDiffusion model3D scene editing
ICLR2024

Topic Modeling as Multi-Objective Contrastive Optimization

Summary pending...

neural topic model; contrastive learning
ICLR2024

Kernelised Normalising Flows

Summary pending...

Machine LearningMaximum LikelihoodDensity Estimation
ICLR2024

Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling

Summary pending...

AI4PDE; Neural Operator; Data Generation; Krylov Subspace
ICLR2024

Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation

Summary pending...

Preference-based Reinforcement LearningOffline Reinforcement LearningConditional Generative Modeling
ICLR2024

Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning

Summary pending...

offline reinforcement learningcompositional generalizationconservatism
ICLR2024

H-GAP: Humanoid Control with a Generalist Planner

Summary pending...

Generative ModellingHumanoid ControlModel Predictive Control
ICLR2024

CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs

Summary pending...

Graph VisualizationOptimizationScalability
ICLR2024

Zero Bubble (Almost) Pipeline Parallelism

Summary pending...

Pipeline ParallelismZero Bubble
ICLR2024

Exploring Weight Balancing on Long-Tailed Recognition Problem

Summary pending...

long-tailed recognitionimbalanced learningweight decay
ICLR2024

Blending Imitation and Reinforcement Learning for Robust Policy Improvement

Summary pending...

imitation learningreinforcement learningmultiple experts
ICLR2024

Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models

Summary pending...

Diffusion Model; Pose-Guided Image Synthesis
ICLR2024

Unlocking the Power of Representations in Long-term Novelty-based Exploration

Summary pending...

Deep RLexplorationdensity estimation
ICLR2024

Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design

Summary pending...

Robot DesignHyperbolic SpaceCoarse-to-Fine
ICLR2024

Benchmarking Algorithms for Federated Domain Generalization

Summary pending...

federated learningdistributed learningdomain generalization
ICLR2024

CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environment

Summary pending...

Chip DesignMachine LearningDataset