Papers
Mon 10 Apr 2023
178 papers
- Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPTLLM reasoning → Knowledge- and tool-augmented reasoning
- Binary Latent DiffusionDiffusion models → Diffusion foundations and sampling
- Scallop: A Language for Neurosymbolic ProgrammingLLM reasoning → Reasoning benchmarks and evaluation
- DDRF: Denoising Diffusion Model for Remote Sensing Image FusionDiffusion models → Inverse problems and image restoration
- A Cheaper and Better Diffusion Language Model with Soft-Masked NoiseDiffusion models → Discrete and text diffusion
- Ambiguous Medical Image Segmentation using Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Reflected Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual RecognitionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Uncertainty-driven Trajectory Truncation for Data Augmentation in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- A Survey on Recent Teacher-student Learning StudiesKnowledge distillation → General knowledge distillation methods
- For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created EqualOffline RL and imitation learning from data → Imitation learning methods
- Sequential Recommendation with Diffusion ModelsDiffusion models → Diffusion recommenders
- Defense-Prefix for Preventing Typographic Attacks on CLIPMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Grouped Knowledge Distillation for Deep Face RecognitionKnowledge distillation → General knowledge distillation methods
- BerDiff: Conditional Bernoulli Diffusion Model for Medical Image SegmentationDiffusion models → Medical imaging and segmentation
- Delving into E-Commerce Product Retrieval with Vision-Language Pre-trainingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Classification of news spreading barriers
- An Efficient Transfer Learning-based Approach for Apple Leaf Disease Classification
- Analysing Fairness of Privacy-Utility Mobility Models
- Learning solution of nonlinear constitutive material models using physics-informed neural networks: COMM-PINN
- Isolated Sign Language Recognition based on Tree Structure Skeleton Images
- Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space
- Accelerating Hybrid Federated Learning Convergence under Partial Participation
- SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model
- SE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Correspondence
- Asymmetric Polynomial Loss For Multi-Label Classification
- iDML: Incentivized Decentralized Machine Learning
- The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges
- Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling
- Neural Network Predicts Ion Concentration Profiles under Nanoconfinement
- EVKG: An Interlinked and Interoperable Electric Vehicle Knowledge Graph for Smart Transportation System
- PointNorm-Net: Self-Supervised Normal Prediction of 3D Point Clouds via Multi-Modal Distribution Estimation
- DISTO: Evaluating Textual Distractors for Multi-Choice Questions using Negative Sampling based Approach
- Human Motion Detection Based on Dual-Graph and Weighted Nuclear Norm Regularizations
- Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild
- ImageCaptioner2: Image Captioner for Image Captioning Bias Amplification Assessment
- DASS Good: Explainable Data Mining of Spatial Cohort Data
- ShapeShift: Superquadric-based Object Pose Estimation for Robotic Grasping
- Simulated Annealing in Early Layers Leads to Better Generalization
- iPINNs: Incremental learning for Physics-informed neural networks
- Neural Lens Modeling
- Deploying Machine Learning Models to Ahead-of-Time Runtime on Edge Using MicroTVM
- MHfit: Mobile Health Data for Predicting Athletics Fitness Using Machine Learning
- Generative Knowledge Selection for Knowledge-Grounded Dialogues
- Ordinal Motifs in Lattices
- Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning
- Recent Advancements in Machine Learning For Cybercrime Prediction
- Multi-Object Tracking by Iteratively Associating Detections with Uniform Appearance for Trawl-Based Fishing Bycatch Monitoring
- LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model
- A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation
- Deep-learning based measurement of planetary radial velocities in the presence of stellar variability
- Examining Temporalities on Stance Detection towards COVID-19 Vaccination
- RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments
- Evaluation of Test-Time Adaptation Under Computational Time Constraints
- Criticality versus uniformity in deep neural networks
- Reinforcement Learning from Passive Data via Latent Intentions
- An autoencoder compression approach for accelerating large-scale inverse problems
- A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner
- First-order methods for Stochastic Variational Inequality problems with Function Constraints
- HDR Video Reconstruction with a Large Dynamic Dataset in Raw and sRGB Domains
- Exploring Effective Factors for Improving Visual In-Context Learning
- Detection Transformer with Stable Matching
- SAM vs BET: A Comparative Study for Brain Extraction and Segmentation of Magnetic Resonance Images using Deep Learning
- On the Possibilities of AI-Generated Text Detection
- Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging
- When does Metropolized Hamiltonian Monte Carlo provably outperform Metropolis-adjusted Langevin algorithm?
- Investigating Graph Structure Information for Entity Alignment with Dangling Cases
- Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction
- RESPECT: Reinforcement Learning based Edge Scheduling on Pipelined Coral Edge TPUs
- Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection
- CherryPicker: Semantic Skeletonization and Topological Reconstruction of Cherry Trees
- Transfer Learning for Low-Resource Sentiment Analysis
- Achieving Long-term Fairness in Submodular Maximization through Randomization
- Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction
- Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation
- Scalable Randomized Kernel Methods for Multiview Data Integration and Prediction
- Interaction-Aware Prompting for Zero-Shot Spatio-Temporal Action Detection
- Learning to Detect Touches on Cluttered Tables
- FairPilot: An Explorative System for Hyperparameter Tuning through the Lens of Fairness
- Artificial Intelligence/Operations Research Workshop 2 Report Out
- Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis
- Regional Deep Atrophy: a Self-Supervised Learning Method to Automatically Identify Regions Associated With Alzheimer's Disease Progression From Longitudinal MRI
- Deep Image Matting: A Comprehensive Survey
- MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning
- SELFormer: Molecular Representation Learning via SELFIES Language Models
- AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges
- On the strong stability of ergodic iterations
- Do We Train on Test Data? The Impact of Near-Duplicates on License Plate Recognition
- ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning
- Probably Approximately Correct Federated Learning
- NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
- EKILA: Synthetic Media Provenance and Attribution for Generative Art
- Reinforcement Learning-Based Black-Box Model Inversion Attacks
- Federated Incremental Semantic Segmentation
- Enhancing Speech-to-Speech Translation with Multiple TTS Targets
- VARS: Video Assistant Referee System for Automated Soccer Decision Making from Multiple Views
- Automated Reading Passage Generation with OpenAI's Large Language Model
- HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation
All 178
- On Evaluation of Bangla Word Analogies
- Attention at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS)
- Localise to segment: crop to improve organ at risk segmentation accuracy
- Learning a Universal Human Prior for Dexterous Manipulation from Human Preference
- Rotation-Scale Equivariant Steerable Filters
- Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits
- ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit
- Scale-Equivariant UNet for Histopathology Image Segmentation
- LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search
- Hyperspectral Image Super-Resolution via Dual-domain Network Based on Hybrid Convolution
- Reconstruction-driven Dynamic Refinement based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation
- Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis
- Learnings from Data Integration for Augmented Language Models
- ADS_UNet: A Nested UNet for Histopathology Image Segmentation
- Linking a predictive model to causal effect estimation
- SoccerNet-Caption: Dense Video Captioning for Soccer Broadcasts Commentaries
- Use the Detection Transformer as a Data Augmenter
- Two Steps Forward and One Behind: Rethinking Time Series Forecasting with Deep Learning
- Kinship Representation Learning with Face Componential Relation
- FreConv: Frequency Branch-and-Integration Convolutional Networks
- UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts
- Deepfake Detection of Occluded Images Using a Patch-based Approach
- FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation
- GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection
- Are Visual Recognition Models Robust to Image Compression?
- SOOD: Towards Semi-Supervised Oriented Object Detection
- DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment
- HybridFusion: LiDAR and Vision Cross-Source Point Cloud Fusion
- hist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images
- Head-tail Loss: A simple function for Oriented Object Detection and Anchor-free models
- A Unified Framework for Exploratory Learning-Aided Community Detection Under Topological Uncertainty
- DeFeeNet: Consecutive 3D Human Motion Prediction with Deviation Feedback
- Improved Test-Time Adaptation for Domain Generalization
- Inference with Reference: Lossless Acceleration of Large Language Models
- Oh, Jeez! or Uh-huh? A Listener-aware Backchannel Predictor on ASR Transcriptions
- Epidemic Control on a Large-Scale-Agent-Based Epidemiology Model using Deep Deterministic Policy Gradient
- Data Imputation from the Perspective of Graph Dirichlet Energy
- Modeling Speaker-Listener Interaction for Backchannel Prediction
- Toward Cohort Intelligence: A Universal Cohort Representation Learning Framework for Electronic Health Record Analysis
- Exposure Fusion for Hand-held Camera Inputs with Optical Flow and PatchMatch
- Modernizing Old Photos Using Multiple References via Photorealistic Style Transfer
- Bayesian optimization for sparse neural networks with trainable activation functions
- Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos
- Inferring Fluid Dynamics via Inverse Rendering
- Approximation of Nonlinear Functionals Using Deep ReLU Networks
- Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection
- Self-training with dual uncertainty for semi-supervised medical image segmentation
- Monocular 3D Human Pose Estimation for Sports Broadcasts using Partial Sports Field Registration
- Local-Global Temporal Difference Learning for Satellite Video Super-Resolution
- Feature Representation Learning with Adaptive Displacement Generation and Transformer Fusion for Micro-Expression Recognition
- High Dynamic Range Imaging with Context-aware Transformer
- Meta Compositional Referring Expression Segmentation
- PCR: Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning
- H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection
- Identity-Guided Collaborative Learning for Cloth-Changing Person Reidentification
- CAVL: Learning Contrastive and Adaptive Representations of Vision and Language
- Randomized and Deterministic Attention Sparsification Algorithms for Over-parameterized Feature Dimension
- Instance Neural Radiance Field
- CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on Graphs
- Deep Active Alignment of Knowledge Graph Entities and Schemata
- Generating Adversarial Attacks in the Latent Space
- On Robustness in Multimodal Learning
- ICDAR 2023 Video Text Reading Competition for Dense and Small Text
- Partial Identification of Causal Effects Using Proxy Variables
- OpenAGI: When LLM Meets Domain Experts
- Locality Preserving Multiview Graph Hashing for Large Scale Remote Sensing Image Search
- Learning Residual Model of Model Predictive Control via Random Forests for Autonomous Driving
- WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus
- Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras
- ViT-Calibrator: Decision Stream Calibration for Vision Transformer
- Exponentially improved efficient machine learning for quantum many-body states with provable guarantees
- Evaluate Geometry of Radiance Fields with Low-frequency Color Prior
- A Novel Point-based Algorithm for Multi-agent Control Using the Common Information Approach
- Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence
- Regret Distribution in Stochastic Bandits: Optimal Trade-off between Expectation and Tail Risk
- Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study
- Split, Merge, and Refine: Fitting Tight Bounding Boxes via Over-Segmentation and Iterative Search
- Agronav: Autonomous Navigation Framework for Agricultural Robots and Vehicles using Semantic Segmentation and Semantic Line Detection