Papers
Mon 3 Apr 2023
217 papers
- Generative Adversarial Neuroevolution for Control Behaviour ImitationOffline RL and imitation learning from data → Imitation learning methods
- Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion ModelsDiffusion models → Video generation
- Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton ApproximationOffline RL and imitation learning from data → Imitation learning methods
- Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge ExcavationMixture-of-experts → Vision mixture-of-experts
- Generative Diffusion Prior for Unified Image Restoration and EnhancementDiffusion models → Inverse problems and image restoration
- Multi-Modal Perceiver Language Model for Outcome Prediction in Emergency DepartmentMultimodal LLMs / vision-language models → Medical vision-language models
- Learning to Read Braille: Bridging the Tactile Reality Gap with Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous DrivingEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- ReMoDiffuse: Retrieval-Augmented Motion Diffusion ModelRetrieval-augmented generation → Multimodal RAG +1
- Deep Manifold Learning for Reading Comprehension and Logical Reasoning Tasks with Polytuplet LossLLM reasoning → Reasoning benchmarks and evaluation
- Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
- DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- AUDIT: Audio Editing by Following Instructions with Latent Diffusion ModelsDiffusion models → Audio, speech and music
- Open-Vocabulary Point-Cloud Object Detection without 3D AnnotationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Probabilistic Prompt Learning for Dense PredictionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Chain-of-Thought Predictive ControlLLM reasoning → Spatial and embodied reasoning +1
- DiffuRec: A Diffusion Model for Sequential RecommendationDiffusion models → Diffusion recommenders
- Vision-Language Models for Vision Tasks: A SurveyMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Graph-Based Deep Learning for Sea Surface Temperature Forecasts
- A structural characterization of Compactly Supported OEP-based balanced dual multiframelets
- Transformer-based interpretable multi-modal data fusion for skin lesion classification
- Model Explainability in Physiological and Healthcare-based Neural Networks
- Neuroevolution of Recurrent Architectures on Control Tasks
- A Multiagent CyberBattleSim for RL Cyber Operation Agents
- OutCenTR: A novel semi-supervised framework for predicting exploits of vulnerabilities in high-dimensional datasets
- Benchmarking Faithfulness: Towards Accurate Natural Language Explanations in Vision-Language Tasks
- Knowledge-Distilled Graph Neural Networks for Personalized Epileptic Seizure Detection
- Quantitative Trading using Deep Q Learning
- Astroformer: More Data Might not be all you need for Classification
- Motion Capture Benchmark of Real Industrial Tasks and Traditional Crafts for Human Movement Analysis
- Specialty-Oriented Generalist Medical AI for Chest CT Screening
- A Bibliometric Review of Large Language Models Research from 2017 to 2023
- Detecting Fake Job Postings Using Bidirectional LSTM
- TransPimLib: A Library for Efficient Transcendental Functions on Processing-in-Memory Systems
- Dual-Attention Neural Transducers for Efficient Wake Word Spotting in Speech Recognition
- The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents
- An Efficient Learning-Based Solver for Two-Stage DC Optimal Power Flow with Feasibility Guarantees
- Learning with augmented target information: An alternative theory of Feedback Alignment
- Adaptive Defective Area Identification in Material Surface Using Active Transfer Learning-based Level Set Estimation
- U-Netmer: U-Net meets Transformer for medical image segmentation
- Fine-tuning of explainable CNNs for skin lesion classification based on dermatologists' feedback towards increasing trust
- Lidar based 3D Tracking and State Estimation of Dynamic Objects
- Learning Personalized Models with Clustered System Identification
- Counterfactual Learning on Graphs: A Survey
- PoseMatcher: One-shot 6D Object Pose Estimation by Deep Feature Matching
- Faulty Branch Identification in Passive Optical Networks using Machine Learning
- Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
- Gaussian model for closed curves
- Enabling A Network AI Gym for Autonomous Cyber Agents
- A Simple and Effective Method of Cross-Lingual Plagiarism Detection
- Accelerated parallel MRI using memory efficient and robust monotone operator learning (MOL)
- End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies
- A Scale-Invariant Trajectory Simplification Method for Efficient Data Collection in Videos
- Charting the Topography of the Neural Network Landscape with Thermal-Like Noise
- Classification of integers based on residue classes via modern deep learning algorithms
- Creating Custom Event Data Without Dictionaries: A Bag-of-Tricks
- A Comparison of Document Similarity Algorithms
- Learning the Delay Using Neural Delay Differential Equations
- Grand Challenge On Detecting Cheapfakes
- PALI: A Language Identification Benchmark for Perso-Arabic Scripts
- Approaches to Corpus Creation for Low-Resource Language Technology: the Case of Southern Kurdish and Laki
- Matched Machine Learning: A Generalized Framework for Treatment Effect Inference With Learned Metrics
- Empirical Design in Reinforcement Learning
- Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities
- Role of Transients in Two-Bounce Non-Line-of-Sight Imaging
- Improved Bound for Mixing Time of Parallel Tempering
- On Mitigating the Utility-Loss in Differentially Private Learning: A new Perspective by a Geometrically Inspired Kernel Approach
- Non-Generative Energy Based Models
- Dynamic accommodation measurement using Purkinje reflections and ML algorithms
- Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning
- Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes
- Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver
- X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs
- Belief, knowledge and evidence
- PEACH: Pre-Training Sequence-to-Sequence Multilingual Models for Translation with Semi-Supervised Pseudo-Parallel Document Generation
- Safety Analysis in the Era of Large Language Models: A Case Study of STPA using ChatGPT
- Unified Emulation-Simulation Training Environment for Autonomous Cyber Agents
- CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-Resolution
- Enhancing Clinical Evidence Recommendation with Multi-Channel Heterogeneous Learning on Evidence Graphs
- Detection of Homophobia & Transphobia in Dravidian Languages: Exploring Deep Learning Methods
- Identifying Mentions of Pain in Mental Health Records Text: A Natural Language Processing Approach
- Online Distillation with Continual Learning for Cyclic Domain Shifts
- Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection
- A Guide for Practical Use of ADMG Causal Data Augmentation
- Astronomical image time series classification using CONVolutional attENTION (ConvEntion)
- How Graph Structure and Label Dependencies Contribute to Node Classification in a Large Network of Documents
- Prediction of solar wind speed by applying convolutional neural network to potential field source surface (PFSS) magnetograms
- Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
- Neural Volumetric Memory for Visual Locomotion Control
- Video Instance Segmentation in an Open-World
- On the Benefits of 3D Pose and Tracking for Human Action Recognition
- Open-Vocabulary Semantic Segmentation with Decoupled One-Pass Network
- Bringing Telepresence to Every Desk
- Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data
- Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement
- Burstormer: Burst Image Restoration and Enhancement Transformer
- Navigating to Objects Specified by Images
- Follow Your Pose: Pose-Guided Text-to-Video Generation using Pose-Free Videos
- WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation
- Hate Speech Targets Detection in Parler using BERT
All 217
- Generative Multiplane Neural Radiance for 3D-Aware Image Generation
- Revisiting Context Aggregation for Image Matting
- The extended Ville's inequality for nonintegrable nonnegative supermartingales
- Is Stochastic Mirror Descent Vulnerable to Adversarial Delay Attacks? A Traffic Assignment Resilience Study
- DribbleBot: Dynamic Legged Manipulation in the Wild
- Algebraic and Geometric Models for Space Networking
- Use Your Head: Improving Long-Tail Video Recognition
- Synthesis parameter effect detection using quantitative representations and high dimensional distribution distances
- Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition
- Associating Spatially-Consistent Grouping with Text-supervised Semantic Segmentation
- Theoretical guarantees for neural control variates in MCMC
- AutoLabel: CLIP-based framework for Open-set Video Domain Adaptation
- Coincidental Generation
- Crossword: A Semantic Approach to Data Compression via Masking
- RunBugRun -- An Executable Dataset for Automated Program Repair
- Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks
- DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task
- Evolving Artificial Neural Networks To Imitate Human Behaviour In Shinobi III : Return of the Ninja Master
- Changes to Captions: An Attentive Network for Remote Sensing Change Captioning
- LIGHT: Joint Individual Building Extraction and Height Estimation from Satellite Images through a Unified Multitask Learning Network
- RPTQ: Reorder-based Post-training Quantization for Large Language Models
- Self-building Neural Networks
- Unsupervised Cross-domain Pulmonary Nodule Detection without Source Data
- Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts?
- FMGNN: Fused Manifold Graph Neural Network
- Conformal Prediction Regions for Time Series using Linear Complementarity Programming
- Real-time 6K Image Rescaling with Rate-distortion Optimization
- Depth Separation with Multilayer Mean-Field Networks
- VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object Detection
- ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis
- DivClust: Controlling Diversity in Deep Clustering
- Artificial neural networks and time series of counts: A class of nonlinear INGARCH models
- Self-Supervised learning for Neural Architecture Search (NAS)
- Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval
- Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?
- Federated Kalman Filter for Secure IoT-based Device Monitoring Services
- Efficient human-in-loop deep learning model training with iterative refinement and statistical result validation
- A Latent Fingerprint in the Wild Database
- Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth Estimation
- Development and Evaluation of Conformal Prediction Methods for QSAR
- Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System
- Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction
- Robust Text-driven Image Editing Method that Adaptively Explores Directions in Latent Spaces of StyleGAN and CLIP
- RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
- Self-Ordering Point Clouds
- DrBERT: A Robust Pre-trained Model in French for Biomedical and Clinical domains
- Properties and Potential Applications of Random Functional-Linked Types of Neural Networks
- AirLoc: Object-based Indoor Relocalization
- Optimizing data-flow in Binary Neural Networks
- Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities -- A Framework and Dataset Creation Approach
- VTAE: Variational Transformer Autoencoder with Manifolds Learning
- RePAST: Relative Pose Attention Scene Representation Transformer
- MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition
- Learning Sparsity of Representations with Discrete Latent Variables
- Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting
- HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion
- Online Lane Graph Extraction from Onboard Video
- Uncertainty Propagation in Node Classification
- Diffusion Bridge Mixture Transports, Schr"odinger Bridge Problems and Generative Modeling
- LAHM : Large Annotated Dataset for Multi-Domain and Multilingual Hate Speech Identification
- Laplace-fPINNs: Laplace-based fractional physics-informed neural networks for solving forward and inverse problems of subdiffusion
- ScandEval: A Benchmark for Scandinavian Natural Language Processing
- Tunable Convolutions with Parametric Multi-Loss Optimization
- Accuracy is not the only Metric that matters: Estimating the Energy Consumption of Deep Learning Models
- Online Algorithms for Hierarchical Inference in Deep Learning applications at the Edge
- Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level Generation
- smProbLog: Stable Model Semantics in ProbLog for Probabilistic Argumentation
- Action Pick-up in Dynamic Action Space Reinforcement Learning
- GreekBART: The First Pretrained Greek Sequence-to-Sequence Model
- Designing and Evaluating Speech Emotion Recognition Systems: A reality check case study with IEMOCAP
- Focalized Contrastive View-invariant Learning for Self-supervised Skeleton-based Action Recognition
- Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising
- MetaHead: An Engine to Create Realistic Digital Head
- Disorder-invariant Implicit Neural Representation
- Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion
- Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction
- Swarm Reinforcement Learning For Adaptive Mesh Refinement
- Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design
- Model-Agnostic Reachability Analysis on Deep Neural Networks
- A Tutorial Introduction to Reinforcement Learning
- Noisy Image Segmentation With Soft-Dice
- FinnWoodlands Dataset
- Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation
- Combinatorial Optimization enriched Machine Learning to solve the Dynamic Vehicle Routing Problem with Time Windows
- Disentangled Pre-training for Image Matting
- NeMF: Inverse Volume Rendering with Neural Microflake Field
- MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models
- Online stochastic Newton methods for estimating the geometric median and applications
- Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents
- BOLLWM: A real-world dataset for bollworm pest monitoring from cotton fields in India
- Learning Anchor Transformations for 3D Garment Animation
- FedIN: Federated Intermediate Layers Learning for Model Heterogeneity
- Spot-the-Camel: Computer Vision for Safer Roads
- Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles
- Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next Framework
- VGTS: Visually Guided Text Spotting for Novel Categories in Historical Manuscripts
- DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting
- Inspecting and Editing Knowledge Representations in Language Models
- Device Image-IV Mapping using Variational Autoencoder for Inverse Design and Forward Prediction
- SparDL: Distributed Deep Learning Training with Efficient Sparse Communication
- Unbiased Scene Graph Generation in Videos
- Leveraging Predictive Models for Adaptive Sampling of Spatiotemporal Fluid Processes
- An Interpretable Loan Credit Evaluation Method Based on Rule Representation Learner
- CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images
- Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study
- Multi-Modal Representation Learning with Text-Driven Soft Masks
- MiniRBT: A Two-stage Distilled Small Chinese Pre-trained Model
- MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected Reconstruction
- High-dimensional scaling limits and fluctuations of online least-squares SGD with smooth covariance
- D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators
- Thermal Spread Functions (TSF): Physics-guided Material Classification
- Lithium-ion Battery Online Knee Onset Detection by Matrix Profile
- 3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds
- Accuracy Improvement of Object Detection in VVC Coded Video Using YOLO-v7 Features
- Partial-View Object View Synthesis via Filtered Inversion
- CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception
- Discovering and Explaining the Non-Causality of Deep Learning in SAR ATR