Papers
Sat 23 Sep 2023
127 papers
- NetDiffus: Network Traffic Generation by Diffusion Models through Time-Series ImagingDiffusion models → Diffusion and flow policies for robotics
- An In-depth Survey of Large Language Model-based Artificial Intelligence AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Domain-Guided Conditional Diffusion Model for Unsupervised Domain AdaptationDiffusion models → Diffusion foundations and sampling
- Interpretable and Flexible Target-Conditioned Neural Planners For Autonomous VehiclesEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Offline to Online Learning for Real-Time Bandwidth EstimationOffline RL and imitation learning from data → Offline multi-agent RL
- Early-Exit with Class Exclusion for Efficient Inference of Neural NetworksEfficient LLM inference and serving → Early exit and edge inference
- Resolving References in Visually-Grounded Dialogue via Text GenerationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Dream the Impossible: Outlier Imagination with Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Probing the Moral Development of Large Language Models through Defining Issues TestLLM reasoning → Reasoning benchmarks and evaluation
- Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through LogicLLM reasoning → Reasoning benchmarks and evaluation
- From Text to Source: Results in Detecting Large Language Model-Generated ContentLLM safety and security → Watermarking generated content and models
- GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodERDiffusion models → Video generation
- Robust Navigation with Cross-Modal Fusion and Knowledge TransferKnowledge distillation → Multimodal distillation
- Defending Pre-trained Language Models as Few-shot Learners against Backdoor AttacksLLM safety and security → Backdoor and data poisoning attacks
- Causal Reasoning: Charting a Revolutionary Course for Next-Generation AI-Native Wireless NetworksLLM reasoning → Reasoning for agents, planning and code
- Algorithms for Object Detection in Substations
- Experimental Evidence on Negative Impact of Generative AI on Scientific Learning Outcomes
- SpeakEasy: A Conversational Intelligence Chatbot for Enhancing College Students' Communication Skills
- EMGTFNet: Fuzzy Vision Transformer to decode Upperlimb sEMG signals for Hand Gestures Recognition
- ECGNet: A generative adversarial network (GAN) approach to the synthesis of 12-lead ECG signals from single lead inputs
- A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer Learning
- A Survey on Image-text Multimodal Models
- Grad DFT: a software library for machine learning enhanced density functional theory
- A Unitary Weights Based One-Iteration Quantum Perceptron Algorithm for Non-Ideal Training Sets
- Diversifying Question Generation over Knowledge Base via External Natural Questions
- Optimizing Chance-Constrained Submodular Problems with Variable Uncertainties
- COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs
- Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy
- Portrait Stylization: Artistic Style Transfer with Auxiliary Networks for Human Face Stylization
- Identifying Systematic Errors in Object Detectors with the SCROD Pipeline
- Enhancing Prediction and Analysis of UK Road Traffic Accident Severity Using AI: Integration of Machine Learning, Econometric Techniques, and Time Series Forecasting in Public Health Research
- A Unified Scheme of ResNet and Softmax
- CA-PCA: Manifold Dimension Estimation, Adapted for Curvature
- Hierarchical attention interpretation: an interpretable speech-level transformer for bi-modal depression detection
- Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers
- Edge Aware Learning for 3D Point Cloud
- HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues
- SUDS: Sanitizing Universal and Dependent Steganography
- Personalised and Adjustable Interval Type-2 Fuzzy-Based PPG Quality Assessment for the Edge
- Tight bounds on Pauli channel learning without entanglement
- A Model-Agnostic Graph Neural Network for Integrating Local and Global Information
- Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data
- Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data
- Grounding Description-Driven Dialogue State Trackers with Knowledge-Seeking Turns
- Video Timeline Modeling For News Story Understanding
- AxOMaP: Designing FPGA-based Approximate Arithmetic Operators using Mathematical Programming
- How Do Drivers Behave at Roundabouts in a Mixed Traffic? A Case Study Using Machine Learning
- Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning
- Rethinking Superpixel Segmentation from Biologically Inspired Mechanisms
- Modeling Student Performance in Game-Based Learning Environments
- A Chat About Boring Problems: Studying GPT-based text normalization
- MiliPoint: A Point Cloud Dataset for mmWave Radar
- Penalties and Rewards for Fair Learning in Paired Kidney Exchange Programs
- DenMune: Density peak based clustering using mutual nearest neighbors
- State-space Models with Layer-wise Nonlinearity are Universal Approximators with Exponential Decaying Memory
- Towards Attributions of Input Variables in a Coalition
- Time-Series Forecasting: Unleashing Long-Term Dependencies with Fractionally Differenced Data
- Learning Large-Scale MTP2 Gaussian Graphical Models via Bridge-Block Decomposition
- Weakly Supervised YOLO Network for Surgical Instrument Localization in Endoscopic Videos
- ML Algorithm Synthesizing Domain Knowledge for Fungal Spores Concentration Prediction
- Dual-Reference Source-Free Active Domain Adaptation for Nasopharyngeal Carcinoma Tumor Segmentation across Multiple Hospitals
- A mirror-Unet architecture for PET/CT lesion segmentation
- Smart City Digital Twin Framework for Real-Time Multi-Data Integration and Wide Public Distribution
- AgriSORT: A Simple Online Real-time Tracking-by-Detection framework for robotics in precision agriculture
- D-Separation for Causal Self-Explanation
- YOLORe-IDNet: An Efficient Multi-Camera System for Person-Tracking
- Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement
- On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation
- Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
- Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head
- Asca: less audio data is more insightful
- Limits of Actor-Critic Algorithms for Decision Tree Policies Learning in IBMDPs
- MLPST: MLP is All You Need for Spatio-Temporal Prediction
- Machine Learning with Chaotic Strange Attractors
- Lexical Squad@Multimodal Hate Speech Event Detection 2023: Multimodal Hate Speech Detection using Fused Ensemble Approach
- Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers
- Speeding-up Evolutionary Algorithms to solve Black-Box Optimization Problems
- Accelerating Particle and Fluid Simulations with Differentiable Graph Networks for Solving Forward and Inverse Problems
- My Science Tutor (MyST) -- A Large Corpus of Children's Conversational Speech
- BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models
- Towards LLM-guided Causal Explainability for Black-box Text Classifiers
- On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay
- FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving
- Independent projections of diffusions: Gradient flows for variational inference and optimal mean field approximations
- Predicting Temperature of Major Cities Using Machine Learning and Deep Learning
- GlotScript: A Resource and Tool for Low Resource Writing System Identification
- Spanish Resource Grammar version 2023
- Class Attendance System in Education with Deep Learning Method
- An Interpretable Systematic Review of Machine Learning Models for Predictive Maintenance of Aircraft Engine
- Calibrating LLM-Based Evaluator
- CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity
- Tackling the Incomplete Annotation Issue in Universal Lesion Detection Task By Exploratory Training
- C2VAE: Gaussian Copula-based VAE Differing Disentangled from Coupled Representations with Contrastive Posterior
- Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Network
- OATS: Opinion Aspect Target Sentiment Quadruple Extraction Dataset for Aspect-Based Sentiment Analysis
- MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo
- Beyond Fairness: Age-Harmless Parkinson's Detection via Voice
- USL-Net: Uncertainty Self-Learning Network for Unsupervised Skin Lesion Segmentation
- Collision Avoidance and Navigation for a Quadrotor Swarm Using End-to-end Deep Reinforcement Learning
- Automatic Reverse Engineering: Creating computer-aided design (CAD) models from multi-view images
All 127
- Distributional Shift-Aware Off-Policy Interval Estimation: A Unified Error Quantification Framework
- Discwise Active Learning for LiDAR Semantic Segmentation
- Natural Language Processing for Requirements Formalization: How to Derive New Approaches?
- BARTSIMP: flexible spatial covariate modeling and prediction using Bayesian additive regression trees
- Being Aware of Localization Accuracy By Generating Predicted-IoU-Guided Quality Scores
- Randomize to Generalize: Domain Randomization for Runway FOD Detection
- EMelodyGen: Emotion-Conditioned Melody Generation in ABC Notation with the Musical Feature Template
- Order-preserving Consistency Regularization for Domain Adaptation and Generalization
- RTrack: Accelerating Convergence for Visual Object Tracking via Pseudo-Boxes Exploration
- Empowering Distributed Training with Sparsity-driven Data Synchronization
- A Survey of Document-Level Information Extraction
- Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation
- Multi-modal Domain Adaptation for REG via Relation Transfer
- Can I Trust the Explanations? Investigating Explainable Machine Learning Methods for Monotonic Models
- RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias
- ChEDDAR: Student-ChatGPT Dialogue in EFL Writing Education
- UniHead: Unifying Multi-Perception for Detection Heads
- NeRF-Enhanced Outpainting for Faithful Field-of-View Extrapolation
- Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation
- M3CS: Multi-Target Masked Point Modeling with Learnable Codebook and Siamese Decoders
- User Simulation with Large Language Models for Evaluating Task-Oriented Dialogue
- Unify word-level and span-level tasks: NJUNLP's Participation for the WMT2023 Quality Estimation Shared Task
- Heterogeneous Feature Representation for Digital Twin-Oriented Complex Networked Systems
- Importance of negative sampling in weak label learning
- Real3D-AD: A Dataset of Point Cloud Anomaly Detection
- Pick Planning Strategies for Large-Scale Package Manipulation
- Hindi to English: Transformer-Based Neural Machine Translation