Papers
12094 papers
ICLR2024
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression
Summary pending...
Deep LearningImitation LearningStability
ICLR2024
Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning
Summary pending...
large multimodal modelsin-context-learningevaluation
ICLR2024
Video Decomposition Prior: Editing Videos Layer by Layer
Summary pending...
Video decompositionTest-time optimization techniqueVideo Relighting
ICLR2024
Generating Images with 3D Annotations Using Diffusion Models
Summary pending...
Synthetic DataTransfer LearningDiffusion Models
ICLR2024
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
Summary pending...
Continual LearningSemi-supervised Continual Learning
ICLR2024
lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning
Summary pending...
generalisationdata selectionneural tangent kernel
ICLR2024
AffineQuant: Affine Transformation Quantization for Large Language Models
Summary pending...
post-training quantizationlarge language modelAffine Transformation
ICLR2024
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
Summary pending...
LLMalignmentin-context learning
ICLR2024
Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
Summary pending...
reinforcement learningdata augmentationstitching
ICLR2024
Improving Domain Generalization with Domain Relations
Summary pending...
Domain Generalization; Domain Relations; Distribution Shift
ICLR2024
Learning Multi-Agent Communication with Contrastive Learning
Summary pending...
Multi-Agent Reinforcement LearningEmergent CommunicationContrastive Learning
ICLR2024
Domain constraints improve risk prediction when outcome data is missing
Summary pending...
Bayesian modelhealthselective labels
ICLR2024
Cameras as Rays: Pose Estimation via Ray Diffusion
Summary pending...
3D Computer VisionPose EstimationDiffusion
ICLR2024
Less is More: Fewer Interpretable Region via Submodular Subset Selection
Summary pending...
Interpretable AISubmodular subset selectionExplainable AI
ICLR2024
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models
Summary pending...
gauge freedomconservativitym intrinsic dimensionality estimationdiffusion models
ICLR2024
PRIME: Prioritizing Interpretability in Failure Mode Extraction
Summary pending...
interpretabilityfailure modesbias
ICLR2024
Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds
Summary pending...
Unsupervised learningglobal correspondencepoint cloud
ICLR2024
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
Summary pending...
Attention steeringPost-hocContextual emphasizing
ICLR2024
GraphPulse: Topological representations for temporal graph property prediction
Summary pending...
Temporal Graph AnalysisTopological Data AnalysisGraph Property Prediction
ICLR2024
Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting
Summary pending...
federated domain adaptationfederated learningdomain adaptation