Papers
12094 papers
ICLR2024
HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments
Summary pending...
embodied AIdecision making
ICLR2024
Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions
Summary pending...
aggregate learningasymptotic analysisbias
ICLR2024
Don't Play Favorites: Minority Guidance for Diffusion Models
Summary pending...
diffusion modelsfairnessgenerative models
ICLR2024
Information Retention via Learning Supplemental Features
Summary pending...
Information RetentionFew-shot LearningDeep Neural Network
ICLR2024
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
Summary pending...
diffusion modelsdiffusion ODEimage super-resolution
ICLR2024
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
Summary pending...
instruction datasetlarge language modelsbiomolecular studies
ICLR2024
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization
Summary pending...
MIADiffusion ModelText-To-Speech
ICLR2024
LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
Summary pending...
LanguageBindMulti-modal PretrainingMulti-modal Dataset
ICLR2024
Large Language Models as Generalizable Policies for Embodied Tasks
Summary pending...
Embodied AIReinforcement LearningLarge Language Models
ICLR2024
Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic
Summary pending...
Synthetic DataObject re-IDBenchmarks
ICLR2024
Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data
Summary pending...
Representation learningmeta learningmulti-task learning
ICLR2024
Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback
Summary pending...
Combinatorial multi-armed bandit$k$-MAX banditvalue-index feedback
ICLR2024
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
Summary pending...
Neural fieldsspatial-temporal NeRFsNeRF for driving
ICLR2024
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations
Summary pending...
in-context learningtransformersrepresentation learning
ICLR2024
The False Promise of Imitating Proprietary Language Models
Summary pending...
Language ModelsModel ImitationDistillation
ICLR2024
MaGIC: Multi-modality Guided Image Completion
Summary pending...
Multi-modalityImage CompletionDiffusion Model
ICLR2024
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
Summary pending...
Diffusion modelsinverse problems
ICLR2024
Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation
Summary pending...
neural collapseorthogonalfixed classifier
ICLR2024
Making Pre-trained Language Models Great on Tabular Prediction
Summary pending...
language modelsclassification and regressionmodel pre-training