Papers
Tue 5 Sep 2023
233 papers
- Exploiting Language Models as a Source of Knowledge for Cognitive AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Physically Grounded Vision-Language Models for Robotic ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Diffusion on the Probability SimplexDiffusion models → Diffusion foundations and sampling
- Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- A Survey of Imitation Learning: Algorithms, Recent Developments, and ChallengesOffline RL and imitation learning from data → Imitation learning methods
- Cognitive Architectures for Language AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Neurosymbolic Meta-Reinforcement Lookahead Learning Achieves Safe Self-Driving in Non-Stationary EnvironmentsEnd-to-end autonomous driving → Reinforcement learning for driving
- CIEM: Contrastive Instruction Evaluation Method for Better Instruction TuningMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- ATM: Action Temporality Modeling for Video Question AnsweringLLM reasoning → Multimodal reasoning
- Robustness and Generalizability of Deepfake Detection: A Study with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Model-based Offline Policy Optimization with Adversarial NetworkOffline RL and imitation learning from data → Offline RL algorithms
- Making Large Language Models Better Reasoners with AlignmentLLM reasoning → Test-time compute and efficient thinking +1
- Hierarchical Masked 3D Diffusion Model for Video OutpaintingDiffusion models → 3D, point cloud and scene generation
- Diffusion-based 3D Object Detection with Random BoxesDiffusion models → Image generation, text-to-image and editing
- sasdim: self-adaptive noise scaling diffusion model for spatial time series imputationDiffusion models → Flow matching, time series and science
- Deep Imitation Learning for Humanoid Loco-manipulation through Human TeleoperationOffline RL and imitation learning from data → Real-world robot offline RL
- Variational Bayesian Imaging with an Efficient Surrogate Score-based PriorDiffusion models → Inverse problems and image restoration
- Task Generalization with Stability Guarantees via Elastic Dynamical System Motion PoliciesOffline RL and imitation learning from data → Robot learning from demonstration
- Gradient Domain Diffusion Models for Image SynthesisDiffusion models → Diffusion foundations and sampling
- AI Mobile Application for Archaeological Dating of Bronze Dings
- Metalearning-Informed Competence in Children: Implications for Responsible Brain-Inspired Artificial Intelligence
- Variational Self-Supervised Contrastive Learning Using Beta Divergence
- Neural Crystals
- Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification
- DeepTriNet: A Tri-Level Attention Based DeepLabv3+ Architecture for Semantic Segmentation of Satellite Images
- Performance Analysis of Various EfficientNet Based U-Net++ Architecture for Automatic Building Extraction from High Resolution Satellite Images
- RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems
- ChatGPT Assisting Diagnosis of Neuro-ophthalmology Diseases Based on Case Reports
- Fairness Vs. Personalization: Towards Equity in Epistemic Utility
- Latent Disentanglement in Mesh Variational Autoencoders Improves the Diagnosis of Craniofacial Syndromes and Aids Surgical Planning
- AGIBench: A Multi-granularity, Multimodal, Human-referenced, Auto-scoring Benchmark for Large Language Models
- A Context-Sensitive Approach to XAI in Music Performance
- Natural Example-Based Explainability: a Survey
- Retail store customer behavior analysis system: Design and Implementation
- Quantum-AI empowered Intelligent Surveillance: Advancing Public Safety Through Innovative Contraband Detection
- Superclustering by finding statistically significant separable groups of optimal gaussian clusters
- Compressing Vision Transformers for Low-Resource Visual Learning
- Generative AI-aided Joint Training-free Secure Semantic Communications via Multi-modal Prompts
- Generative Algorithms for Fusion of Physics-Based Wildfire Spread Models with Satellite Data for Initializing Wildfire Forecasts
- Utilizing Generative Adversarial Networks for Stable Structure Generation in Angry Birds
- T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data
- Distributed Variational Inference for Online Supervised Learning
- Screening of Pneumonia and Urinary Tract Infection at Triage using TriNet
- Detection of Unknown-Unknowns in Human-in-Plant Human-in-Loop Systems Using Physics Guided Process Models
- Comparative Evaluation of Metaheuristic Algorithms for Hyperparameter Selection in Short-Term Weather Forecasting
- Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks
- Approximating High-Dimensional Minimal Surfaces with Physics-Informed Neural Networks
- Representation Learning for Sequential Volumetric Design Tasks
- Unveiling Intractable Epileptogenic Brain Networks with Deep Learning Algorithms: A Novel and Comprehensive Framework for Scalable Seizure Prediction with Unimodal Neuroimaging Data in Pediatric Patients
- Anatomy-Driven Pathology Detection on Chest X-rays
- Emphysema Subtyping on Thoracic Computed Tomography Scans using Deep Neural Networks
- Causal Structure Recovery of Linear Dynamical Systems: An FFT based Approach
- Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers
- Recurrence-Free Survival Prediction for Anal Squamous Cell Carcinoma Chemoradiotherapy using Planning CT-based Radiomics Model
- Sparse Partitioning Around Medoids
- Domain Adaptation for Efficiently Fine-tuning Vision Transformer with Encrypted Images
- A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images
- Automating Behavioral Testing in Machine Translation
- Data Aggregation for Hierarchical Clustering
- Continual Improvement of Threshold-Based Novelty Detection
- Structural Concept Learning via Graph Attention for Multi-Level Rearrangement Planning
- A Generalized Bandsplit Neural Network for Cinematic Audio Source Separation
- Experience and Prediction: A Metric of Hardness for a Novel Litmus Test
- Adaptive Adversarial Training Does Not Increase Recourse Costs
- A skeletonization algorithm for gradient-based optimization
- Do You Trust ChatGPT? -- Perceived Credibility of Human and AI-Generated Content
- Comparative Analysis of CPU and GPU Profiling for Deep Learning Models
- Towards User Guided Actionable Recourse
- Enhancing Semantic Communication with Deep Generative Models -- An ICASSP Special Session Overview
- Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning
- Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D)
- GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction
- Efficient RL via Disentangled Environment and Agent Representations
- ReliTalk: Relightable Talking Portrait Generation from a Single Video
- Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach
- Enhancing Deep Learning Models through Tensorization: A Comprehensive Survey and Framework
- Monotone Tree-Based GAMI Models by Adapting XGBoost
- On the Minimax Regret in Online Ranking with Top-k Feedback
- EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding
- Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test
- Doppelgangers: Learning to Disambiguate Images of Similar Structures
- Computing SHAP Efficiently Using Model Structure Information
- First and zeroth-order implementations of the regularized Newton method with lazy approximated Hessians
- Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices
- Generating Realistic Images from In-the-wild Sounds
- Voice Morphing: Two Identities in One Voice
- Substitution-based Semantic Change Detection using Contextual Embeddings
- Prototype-based Dataset Comparison
- In-Ear-Voice: Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms
- Explaining grokking through circuit efficiency
- nanoT5: A PyTorch Framework for Pre-training and Fine-tuning T5-style Models with Limited Resources
- STEP -- Towards Structured Scene-Text Spotting
- A Lightweight and Transferable Design for Robust LEGO Manipulation
- Exact Inference for Continuous-Time Gaussian Process Dynamics
- Local Padding in Patch-Based GANs for Seamless Infinite-Sized Texture Synthesis
- DEEPBEAS3D: Deep Learning and B-Spline Explicit Active Surfaces
- PolyLUT: Learning Piecewise Polynomials for Ultra-Low Latency FPGA LUT-based Inference
- Resilient VAE: Unsupervised Anomaly Detection at the SLAC Linac Coherent Light Source
- Information Processing by Neuron Populations in the Central Nervous System: A Theory of the Mathematical Structure of Data and Operations
All 233
- Revisiting File Context for Source Code Summarization
- SeisCLIP: A seismology foundation model pre-trained by multi-modal data for multi-purpose seismic feature extraction
- TiAVox: Time-aware Attenuation Voxels for Sparse-view 4D DSA Reconstruction
- A study on the impact of pre-trained model on Just-In-Time defect prediction
- Weigh Your Own Words: Improving Hate Speech Counter Narrative Generation via Attention Regularization
- Graph Self-Contrast Representation Learning
- Inferring effective couplings with Restricted Boltzmann Machines
- Optimal Observation-Intervention Trade-Off in Optimisation Problems with Causal Structure
- Haystack: A Panoptic Scene Graph Dataset to Evaluate Rare Predicate Classes
- PromptTTS 2: Describing and Generating Voices with Text Prompt
- s-ID: Causal Effect Identification in a Sub-Population
- A Comparison of Residual-based Methods on Fault Detection
- Graph-Based Automatic Feature Selection for Multi-Class Classification via Mean Simplified Silhouette
- SAM-Deblur: Let Segment Anything Boost Image Deblurring
- MA-VAE: Multi-head Attention-based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-series Applied to Automotive Endurance Powertrain Testing
- RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning
- Encoding Seasonal Climate Predictions for Demand Forecasting with Modular Neural Network
- Augmenting Chest X-ray Datasets with Non-Expert Annotations
- Self-Similarity-Based and Novelty-based loss for music structure analysis
- Dialog Action-Aware Transformer for Dialog Policy Learning
- Sample Size in Natural Language Processing within Healthcare Research
- Distributionally Robust Model-based Reinforcement Learning with Large State Spaces
- Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering
- FSD: An Initial Chinese Dataset for Fake Song Detection
- DCP-Net: A Distributed Collaborative Perception Network for Remote Sensing Semantic Segmentation
- Dense Object Grounding in 3D Scenes
- Advanced Underwater Image Restoration in Complex Illumination Conditions
- Improving equilibrium propagation without weight symmetry through Jacobian homeostasis
- Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptation
- Continual Cross-Dataset Adaptation in Road Surface Classification
- Language Models for Novelty Detection in System Call Traces
- On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence
- Delving into Ipsilateral Mammogram Assessment under Multi-View Network
- Sparse Function-space Representation of Neural Networks
- Personalized Federated Deep Reinforcement Learning-based Trajectory Optimization for Multi-UAV Assisted Edge Computing
- Exchanging-based Multimodal Fusion with Transformer
- Leveraging BERT Language Models for Multi-Lingual ESG Issue Identification
- Incorporating Dictionaries into a Neural Network Architecture to Extract COVID-19 Medical Concepts From Social Media
- AniPortraitGAN: Animatable 3D Portrait Generation from 2D Image Collections
- BEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye View
- High-resolution 3D Maps of Left Atrial Displacements using an Unsupervised Image Registration Neural Network
- Dual Relation Alignment for Composed Image Retrieval
- PCFGaze: Physics-Consistent Feature for Appearance-based Gaze Estimation
- Advancing Text-to-GLOSS Neural Translation Using a Novel Hyper-parameter Optimization Technique
- Bias Propagation in Federated Learning
- The Adversarial Implications of Variable-Time Inference
- Traffic Light Recognition using Convolutional Neural Networks: A Survey
- S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning
- Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection
- INCEPTNET: Precise And Early Disease Detection Application For Medical Images Analyses
- Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition
- A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection
- Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR Data
- Generalized Simplicial Attention Neural Networks
- Exploring the Intersection of Complex Aesthetics and Generative AI for Promoting Cultural Creativity in Rural China after the Post-Pandemic Era
- Evaluating Methods for Ground-Truth-Free Foreign Accent Conversion
- Asymmetric Momentum: A Rethinking of Gradient Descent
- Exploiting Spatial-temporal Data for Sleep Stage Classification via Hypergraph Learning
- Multi-label affordance mapping from egocentric vision
- Wordle: A Microcosm of Life. Luck, Skill, Cheating, Loyalty, and Influence!
- Leveraging Label Information for Multimodal Emotion Recognition
- Improving Query-Focused Meeting Summarization with Query-Relevant Knowledge
- Iterative Superquadric Recomposition of 3D Objects from Multiple Views
- Towards Diverse and Consistent Typography Generation
- TensorBank: Tensor Lakehouse for Foundation Model Training
- Where are We in Event-centric Emotion Analysis? Bridging Emotion Role Labeling and Appraisal-based Approaches
- DeNISE: Deep Networks for Improved Segmentation Edges
- Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot Learning
- Unsupervised Out-of-Distribution Detection by Restoring Lossy Inputs with Variational Autoencoder
- Backward error analysis and the qualitative behaviour of stochastic optimization algorithms: Application to stochastic coordinate descent
- An Automatic Evaluation Framework for Multi-turn Medical Consultations Capabilities of Large Language Models
- Global Neural Networks and The Data Scaling Effect in Financial Time Series Forecasting
- BeeTLe: An Imbalance-Aware Deep Sequence Model for Linear B-Cell Epitope Prediction and Classification with Logit-Adjusted Losses
- Histograms of Points, Orientations, and Dynamics of Orientations Features for Hindi Online Handwritten Character Recognition
- Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI
- MvFS: Multi-view Feature Selection for Recommender System
- No-Regret Caching with Noisy Request Estimates
- An Adaptive Spatial-Temporal Local Feature Difference Method for Infrared Small-moving Target Detection
- Machine learning of network inference enhancement from noisy measurements
- Probabilistic Self-supervised Learning via Scoring Rules Minimization
- Enhance Multi-domain Sentiment Analysis of Review Texts through Prompting Strategies
- Decomposed Guided Dynamic Filters for Efficient RGB-Guided Depth Completion
- Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples
- Diffusion Generative Inverse Design
- Data-Juicer: A One-Stop Data Processing System for Large Language Models
- A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking
- The Impact of Artificial Intelligence on the Evolution of Digital Education: A Comparative Study of OpenAI Text Generation Tools including ChatGPT, Bing Chat, Bard, and Ernie
- Non-Parametric Representation Learning with Kernels
- Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length
- RDGSL: Dynamic Graph Representation Learning with Structure Learning
- Early Exiting Predictive Coding Neural Networks for Edge AI
- RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Image
- PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates
- iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation
- Representation Learning Dynamics of Self-Supervised Models
- Establishing a real-time traffic alarm in the city of Valencia with Deep Learning
- Belief revision and incongruity: is it a joke?
- Logarithmic Mathematical Morphology: Theory and applications
- Aggregating Correlated Estimations with (Almost) no Training
- Analyzing domain shift when using additional data for the MICCAI KiTS23 Challenge
- Photonic Structures Optimization Using Highly Data-Efficient Deep Learning: Application To Nanofin And Annular Groove Phase Masks
- Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction using Diffusion Graph Convolutional Networks
- An LSTM-Based Predictive Monitoring Method for Data with Time-varying Variability
- Linear Regression using Heterogeneous Data Batches
- AdaPlus: Integrating Nesterov Momentum and Precise Stepsize Adjustment on AdamW Basis
- NICE: CVPR 2023 Challenge on Zero-shot Image Captioning
- Empowering Low-Light Image Enhancer through Customized Learnable Priors
- A Survey on Interpretable Cross-modal Reasoning
- Bilevel Scheduled Sampling for Dialogue Generation
- RADIO: Reference-Agnostic Dubbing Video Synthesis
- TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-device ASR Models
- On-Chip Hardware-Aware Quantization for Mixed Precision Neural Networks
- Extract-and-Adaptation Network for 3D Interacting Hand Mesh Recovery
- Dynamic Brain Transformer with Multi-level Attention for Functional Brain Network Analysis
- CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models
- Provably safe systems: the only path to controllable AGI
- DR-Pose: A Two-stage Deformation-and-Registration Pipeline for Category-level 6D Object Pose Estimation
- Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes
- Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images
- RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking
- A Survey on Physics Informed Reinforcement Learning: Review and Open Problems
- SyntheWorld: A Large-Scale Synthetic Dataset for Land Cover Mapping and Building Change Detection
- Improving Drone Imagery For Computer Vision/Machine Learning in Wilderness Search and Rescue
- Towards Robust Plant Disease Diagnosis with Hard-sample Re-mining Strategy
- Towards General and Efficient Online Tuning for Spark
- Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs
- Inferring Actual Treatment Pathways from Patient Records
- Reconstruction of Unstable Heavy Particles Using Deep Symmetry-Preserving Attention Networks
- QuantEase: Optimization-based Quantization for Language Models
- Non-asymptotic approximations for Pearson's chi-square statistic and its application to confidence intervals for strictly convex functions of the probability weights of discrete distributions
- On the Planning, Search, and Memorization Capabilities of Large Language Models
- Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting
- BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior