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Using Large Language Models for Hyperparameter Optimization
Large Language Models for Mathematicians
Magicoder: Source Code Is All You Need
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
GIVT: Generative Infinite-Vocabulary Transformers
Scaling Laws of Synthetic Images for Model Training ... for Now
Dream2Real: Zero-Shot 3D Object Rearrangement with Vision-Language Models
Correspondences of the Third Kind: Camera Pose Estimation from Object Reflection
Free3D: Consistent Novel View Synthesis without 3D Representation
Evaluating and Mitigating Discrimination in Language Model Decisions
Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text
Modeling Boundedly Rational Agents with Latent Inference Budgets
ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?
DiffiT: Diffusion Vision Transformers for Image Generation
Recurrent Distance-Encoding Neural Networks for Graph Representation Learning
Aligning and Prompting Everything All at Once for Universal Visual Perception
Diffusing Colors: Image Colorization with Text Guided Diffusion
Have we built machines that think like people?
Eliciting Latent Knowledge from Quirky Language Models
Scalable Extraction of Training Data from (Production) Language Models
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS
NeRFiller: Completing Scenes via Generative 3D Inpainting
An LLM Compiler for Parallel Function Calling
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
Guarding Barlow Twins Against Overfitting with Mixed Samples
AI and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform
Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities
HeadGaS: Real-Time Animatable Head Avatars via 3D Gaussian Splatting
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Differentiable Point-based Inverse Rendering
Jointly spatial-temporal representation learning for individual trajectories
GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation
Generating Illustrated Instructions
Trajeglish: Learning the Language of Driving Scenarios
Monitoring Sustainable Global Development Along Shared Socioeconomic Pathways
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
On the Impact of Multi-dimensional Local Differential Privacy on Fairness
Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks
ReconFusion: 3D Reconstruction with Diffusion Priors
Improved Efficient Two-Stage Denoising Diffusion Power System Measurement Recovery Against False Data Injection Attacks and Data Losses
Learning to sample in Cartesian MRI
Finding Interpretable Class-Specific Patterns through Efficient Neural Search
A Structural-Clustering Based Active Learning for Graph Neural Networks
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
PointNeRF++: A multi-scale, point-based Neural Radiance Field
Estimating Countries with Similar Maternal Mortality Rate using Cluster Analysis and Pairing Countries with Identical MMR
Invariant Random Forest: Tree-Based Model Solution for OOD Generalization
Extending Answer Set Programming with Rational Numbers
Generative Powers of Ten
Adapting Newton's Method to Neural Networks through a Summary of Higher-Order Derivatives
CODEX: A Cluster-Based Method for Explainable Reinforcement Learning
Calibrated Uncertainties for Neural Radiance Fields
Constrained Hierarchical Clustering via Graph Coarsening and Optimal Cuts
A novel feature selection framework for incomplete data
Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Generalization to New Sequential Decision Making Tasks with In-Context Learning
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection
On the adaptation of in-context learners for system identification
Kandinsky 3.0 Technical Report
A Transformer Model for Symbolic Regression towards Scientific Discovery
MeanCut: A Greedy-Optimized Graph Clustering via Path-based Similarity and Degree Descent Criterion
A Robust and Efficient Boundary Point Detection Method by Measuring Local Direction Dispersion
Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts
Reconstruction of dynamical systems from data without time labels
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification
Rapid detection of rare events from in situ X-ray diffraction data using machine learning
Fast View Synthesis of Casual Videos
Paved2Paradise: Cost-Effective and Scalable LiDAR Simulation by Factoring the Real World
InvertAvatar: Incremental GAN Inversion for Generalized Head Avatars
The Potential of Vision-Language Models for Content Moderation of Children's Videos
Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning
Leveraging Domain Adaptation and Data Augmentation to Improve Qur'anic IR in English and Arabic
Adaptive Dependency Learning Graph Neural Networks
Domain constraints improve risk prediction when outcome data is missing
Analyzing and Improving the Training Dynamics of Diffusion Models
Self-conditioned Image Generation via Generating Representations
Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
Pearl: A Production-ready Reinforcement Learning Agent
Risk-Controlling Model Selection via Guided Bayesian Optimization
DiffusionSat: A Generative Foundation Model for Satellite Imagery
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
TextAug: Test time Text Augmentation for Multimodal Person Re-identification
IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks
MVHumanNet: A Large-scale Dataset of Multi-view Daily Dressing Human Captures
Multi-Scale and Multi-Modal Contrastive Learning Network for Biomedical Time Series
SmoothQuant+: Accurate and Efficient 4-bit Post-Training WeightQuantization for LLM
Instruction-tuning Aligns LLMs to the Human Brain
Predicting the Transportation Activities of Construction Waste Hauling Trucks: An Input-Output Hidden Markov Approach
How should the advent of large language models affect the practice of science?
Re-Nerfing: Enforcing Geometric Constraints on Neural Radiance Fields through Novel Views Synthesis
A Survey of Temporal Credit Assignment in Deep Reinforcement Learning
Training Chain-of-Thought via Latent-Variable Inference
Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey
Adversarial Diffusion Distillation