Papers
Wed 1 Feb 2023
195 papers
- Collaborating with language models for embodied reasoningLLM reasoning → Spatial and embodied reasoning
- ADAPT: Action-aware Driving Caption TransformerEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- Stable Target Field for Reduced Variance Score Estimation in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved ConfoundersOffline RL and imitation learning from data → Offline RL algorithms
- Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular DynamicsDiffusion models → Flow matching, time series and science
- Analyzing Leakage of Personally Identifiable Information in Language ModelsLLM safety and security → Membership inference attacks
- Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement LearningOffline RL and imitation learning from data → Offline multi-agent RL
- Improving and generalizing flow-based generative models with minibatch optimal transportDiffusion models → Flow matching, time series and science
- Improved Knowledge Distillation for Pre-trained Language Models via Knowledge SelectionKnowledge distillation → Knowledge distillation for LLMs
- Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its ApplicationsLLM reasoning → Multimodal reasoning
- Selective Uncertainty Propagation in Offline RLOffline RL and imitation learning from data → Offline RL algorithms
- CATFL: Certificateless Authentication-based Trustworthy Federated Learning for 6G Semantic CommunicationsLLM safety and security → Federated unlearning and poisoning
- Internally Rewarded Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation DetectionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Knowledge Distillation on Graphs: A SurveyKnowledge distillation → Graph neural network distillation
- Diffusion Models for High-Resolution Solar ForecastsDiffusion models → Flow matching, time series and science
- Cloud-Based Deep Learning: End-To-End Full-Stack Handwritten Digit Recognition
- Grading Conversational Responses Of Chatbots
- Towards CGAN-based Satellite Image Synthesis with Partial Pixel-Wise Annotation
- CertViT: Certified Robustness of Pre-Trained Vision Transformers
- Data level and decision level fusion of satellite multi-sensor AOD retrievals for improving PM2.5 estimations, a study on Tehran
- Netizens, Academicians, and Information Professionals' Opinions About AI With Special Reference To ChatGPT
- Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection
- Fusion of Radio and Camera Sensor Data for Accurate Indoor Positioning
- BackdoorBox: A Python Toolbox for Backdoor Learning
- DANES: Deep Neural Network Ensemble Architecture for Social and Textual Context-aware Fake News Detection
- Object Dimension Extraction for Environment Mapping with Low Cost Cameras Fused with Laser Ranging
- Computational Discovery of Microstructured Composites with Optimal Stiffness-Toughness Trade-Offs
- Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI
- Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
- Unsupervised Entity Alignment for Temporal Knowledge Graphs
- Using Machine Learning to Develop Smart Reflex Testing Protocols
- Variational Autoencoder Learns Better Feature Representations for EEG-based Obesity Classification
- A supplemental investigation of non-linearity in quantum generative models with respect to simulatability and optimization
- FAVOR#: Sharp Attention Kernel Approximations via New Classes of Positive Random Features
- SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis
- Evolving Flying Machines in Minecraft Using Quality Diversity
- Monitoring the risk of a tailings dam collapse through spectral analysis of satellite InSAR time-series data
- User Study for Improving Tools for Bible Translation
- Safe Interval Path Planning With Kinodynamic Constraints
- Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index
- Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression
- Leveraging Task Dependency and Contrastive Learning for Case Outcome Classification on European Court of Human Rights Cases
- ImageNomer: description of a functional connectivity and omics analysis tool and case study identifying a race confound
- Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds
- Visually Grounded Keyword Detection and Localisation for Low-Resource Languages
- AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference
- Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery
- Developing Hands-on Labs for Source Code Vulnerability Detection with AI
- Universal Soldier: Using Universal Adversarial Perturbations for Detecting Backdoor Attacks
- A Formal Algebraic Framework for DSL Composition
- Inference of Partial Colexifications from Multilingual Wordlists
- Approximating the Shapley Value without Marginal Contributions
- MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs
- Faster Convergence with Lexicase Selection in Tree-based Automated Machine Learning
- Sample Complexity of Kernel-Based Q-Learning
- A Survey of Deep Learning: From Activations to Transformers
- The Weisfeiler-Lehman Distance: Reinterpretation and Connection with GNNs
- Tame Riemannian Stochastic Approximation
- Pathologies of Predictive Diversity in Deep Ensembles
- Versatile Energy-Based Probabilistic Models for High Energy Physics
- Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data
- 'Generative CI' through Collective Response Systems
- QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
- Detecting Histologic & Clinical Glioblastoma Patterns of Prognostic Relevance
- Does Vision Accelerate Hierarchical Generalization in Neural Language Learners?
- Graph Neural Operators for Classification of Spatial Transcriptomics Data
- Image-Based Vehicle Classification by Synergizing Features from Supervised and Self-Supervised Learning Paradigms
- Epic-Sounds: A Large-scale Dataset of Actions That Sound
- Are UD Treebanks Getting More Consistent? A Report Card for English UD
- Deep Dependency Networks for Multi-Label Classification
- Training Normalizing Flows with the Precision-Recall Divergence
- Continuous U-Net: Faster, Greater and Noiseless
- Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization
- Learning Large-scale Neural Fields via Context Pruned Meta-Learning
- GFlowNets for AI-Driven Scientific Discovery
- Clinical Decision Transformer: Intended Treatment Recommendation through Goal Prompting
- Uniswap Liquidity Provision: An Online Learning Approach
- Zero-shot Transfer of Article-aware Legal Outcome Classification for European Court of Human Rights Cases
- The RW3D: A multi-modal panel dataset to understand the psychological impact of the pandemic
- MB-DECTNet: A Model-Based Unrolled Network for Accurate 3D DECT Reconstruction
- An automated, geometry-based method for hippocampal shape and thickness analysis
- Agnostic Visual Recommendation Systems: Open Challenges and Future Directions
- Automatically Marginalized MCMC in Probabilistic Programming
- Trash to Treasure: Using text-to-image models to inform the design of physical artefacts
- Co-Writing with Opinionated Language Models Affects Users' Views
- Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design
- Correspondence-free online human motion retargeting
- An Out-of-Domain Synapse Detection Challenge for Microwasp Brain Connectomes
- DoCoFL: Downlink Compression for Cross-Device Federated Learning
- Experimental observation on a low-rank tensor model for eigenvalue problems
- Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection
- Distillation Policy Optimization
- A latent space for unsupervised MR image quality control via artifact assessment
- Uncertainty-Driven Dense Two-View Structure from Motion
- Synthesis-based Imaging-Differentiation Representation Learning for Multi-Sequence 3D/4D MRI
- Towards Implementing Energy-aware Data-driven Intelligence for Smart Health Applications on Mobile Platforms
- Iterative Deepening Hyperband
- Exploring Semantic Perturbations on Grover
All 195
- Tracking People in Highly Dynamic Industrial Environments
- Hybrid Probabilistic Logic Programming: Inference and Learning
- You Are What You Talk About: Inducing Evaluative Topics for Personality Analysis
- Learning Prototype Classifiers for Long-Tailed Recognition
- Equivariant Message Passing Neural Network for Crystal Material Discovery
- Digital Twin Applications in Urban Logistics: An Overview
- Improved Exact and Heuristic Algorithms for Maximum Weight Clique
- Simplicity Bias in 1-Hidden Layer Neural Networks
- Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps
- HunSum-1: an Abstractive Summarization Dataset for Hungarian
- Width and Depth Limits Commute in Residual Networks
- Scaling Laws for Hyperparameter Optimization
- Do I Have Your Attention: A Large Scale Engagement Prediction Dataset and Baselines
- Robust online active learning
- For the Underrepresented in Gender Bias Research: Chinese Name Gender Prediction with Heterogeneous Graph Attention Network
- KNNs of Semantic Encodings for Rating Prediction
- On the Role of Morphological Information for Contextual Lemmatization
- Learning Choice Functions with Gaussian Processes
- mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
- Deterministic equivalent and error universality of deep random features learning
- Delayed Feedback in Kernel Bandits
- PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation
- Hierarchical Classification of Research Fields in the "Web of Science" Using Deep Learning
- Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes
- EfficientRep:An Efficient Repvgg-style ConvNets with Hardware-aware Neural Network Design
- Alphazzle: Jigsaw Puzzle Solver with Deep Monte-Carlo Tree Search
- An Empirical Study on the Transferability of Transformer Modules in Parameter-Efficient Fine-Tuning
- Bayes-optimal Learning of Deep Random Networks of Extensive-width
- HOAX: A Hyperparameter Optimization Algorithm Explorer for Neural Networks
- Simple yet Effective Gradient-Free Graph Convolutional Networks
- How to select predictive models for causal inference?
- Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification
- The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks
- A Flexible Framework for Virtual Omnidirectional Vision to Improve Operator Situation Awareness
- Bandit Convex Optimisation Revisited: FTRL Achieves tildeO(t1/2) Regret
- Towards Label-Efficient Incremental Learning: A Survey
- Anderson Acceleration For Bioinformatics-Based Machine Learning
- Reverse Ordering Techniques for Attention-Based Channel Prediction
- Attention Link: An Efficient Attention-Based Low Resource Machine Translation Architecture
- Deep learning for psi-weakly dependent processes
- iPAL: A Machine Learning Based Smart Healthcare Framework For Automatic Diagnosis Of Attention Deficit/Hyperactivity Disorder (ADHD)
- Learning Functional Transduction
- Evaluating TCFD Reporting: A New Application of Zero-Shot Analysis to Climate-Related Financial Disclosures
- An Evaluation of Persian-English Machine Translation Datasets with Transformers
- Development of deep biological ages aware of morbidity and mortality based on unsupervised and semi-supervised deep learning approaches
- Accelerated First-Order Optimization under Nonlinear Constraints
- A Deep Behavior Path Matching Network for Click-Through Rate Prediction
- Learning from Stochastic Labels
- The geometry of hidden representations of large transformer models
- A Survey of Methods, Challenges and Perspectives in Causality
- Development of Real-time Rendering Technology for High-Precision Models in Autonomous Driving
- MS-DETR: Multispectral Pedestrian Detection Transformer with Loosely Coupled Fusion and Modality-Balanced Optimization
- Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training
- Anti-unification and Generalization: A Survey
- Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization
- W2SAT: Learning to generate SAT instances from Weighted Literal Incidence Graphs
- Dictionary-based Manifold Learning
- Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression
- QLABGrad: a Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning
- Quickest Change Detection for Unnormalized Statistical Models
- A Nearly-Optimal Bound for Fast Regression with ℓ_∞ Guarantee
- TAPAS: Fast and Automatic Derivation of Tensor Parallel Strategies for Large Neural Networks
- Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model
- The Parametric Stability of Well-separated Spherical Gaussian Mixtures
- Filtering Context Mitigates Scarcity and Selection Bias in Political Ideology Prediction
- Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO)
- Generative Adversarial Symmetry Discovery
- SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks
- The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence
- Human Fall Detection- Multimodality Approach
- Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection
- Towards Large Certified Radius in Randomized Smoothing using Quasiconcave Optimization
- Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach
- Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria
- Gradient Descent in Neural Networks as Sequential Learning in RKBS
- End-to-End Full-Atom Antibody Design
- A Transaction Represented with Weighted Finite-State Transducers
- A fuzzy adaptive metaheuristic algorithm for identifying sustainable, economical, lightweight, and earthquake-resistant reinforced concrete cantilever retaining walls
- Weight Prediction Boosts the Convergence of AdamW
- Free Lunch for Domain Adversarial Training: Environment Label Smoothing
- rm A2Q: Aggregation-Aware Quantization for Graph Neural Networks
- Density peak clustering using tensor network
- Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation
- Detecting Lexical Borrowings from Dominant Languages in Multilingual Wordlists
- Deep Learning Approach to Predict Hemorrhage in Moyamoya Disease
- Stable Attribute Group Editing for Reliable Few-shot Image Generation
- Program Generation from Diverse Video Demonstrations
- Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control Approach
- Detection of Tomato Ripening Stages using Yolov3-tiny
- FLSTRA: Federated Learning in Stratosphere
- Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans
- Local transfer learning from one data space to another
- How to Prove the Optimized Values of Hyperparameters for Particle Swarm Optimization?
- TwinExplainer: Explaining Predictions of an Automotive Digital Twin
- Multi-Grade Deep Learning