Papers

12094 papers

ICLR2024

SOHES: Self-supervised Open-world Hierarchical Entity Segmentation

Summary pending...

self-supervised learningopen-world learningsegmentation
ICLR2024

EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Summary pending...

equivariant neural networksgraph neural networkscomputational physics
ICLR2024

Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning

Summary pending...

Privacy AttackMembership InferenceData Poisoning
ICLR2024

Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks

Summary pending...

Drug DesignMolecule GenerationDeep Learning
ICLR2024

BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection

Summary pending...

Backdoor Input DetectionBackdoor DefenseAI Security
ICLR2024

Improved Probabilistic Image-Text Representations

Summary pending...

Probabilistic embeddingimage-text matchingcross-modal retrieval
ICLR2024

SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos

Summary pending...

procedure planning; instructional video; state changes; large language models; vision and language alignment
ICLR2024

Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation

Summary pending...

Representation LearningSpurious CorrelationsSelf-supervised Learning
ICLR2024

Implicit bias of SGD in $L_2$-regularized linear DNNs: One-way jumps from high to low rank

Summary pending...

implicit biasSGDlow-rank
ICLR2024

Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features

Summary pending...

distribution-shift robustnessfine-tuningadaptation
ICLR2024

Reasoning with Latent Diffusion in Offline Reinforcement Learning

Summary pending...

Reinforcement LearningDiffusion Models
ICLR2024

The Hidden Language of Diffusion Models

Summary pending...

InterpretabilityExplainabilityText-to-image models
ICLR2024

Self-Consuming Generative Models Go MAD

Summary pending...

Generative ModelsSynthetic DataSampling Bias
ICLR2024

Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning

Summary pending...

Federated LearningContinual LearningCatastrophic Forgetting
ICLR2024

MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods

Summary pending...

Generative modelsNatural language generationNeural machine translation
ICLR2024

Adaptive Sharpness-Aware Pruning for Robust Sparse Networks

Summary pending...

sparsitypruningnatural robustness
ICLR2024

OpenTab: Advancing Large Language Models as Open-domain Table Reasoners

Summary pending...

Large Language ModelsTable Reasoning
ICLR2024

Neurosymbolic Grounding for Compositional World Models

Summary pending...

neurosymbolic learningmachine learningworld modeling
ICLR2024

Entropy Coding of Unordered Data Structures

Summary pending...

graph compressionentropy codingneural compression
ICLR2024

Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles

Summary pending...

Learng from human feedbackzeroth-order optimizationStable Diffusion