Papers
Sun 26 Nov 2023
119 papers
- Negotiating with LLMS: Prompt Hacks, Skill Gaps, and Reasoning DeficitsLLM reasoning → Reasoning benchmarks and evaluation
- Enhancing HOI Detection with Contextual Cues from Large Vision-Language ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIPMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly DetectionDiffusion models → Medical imaging and segmentation
- Functional DiffusionDiffusion models → Diffusion foundations and sampling
- Confidence Is All You Need for MI AttacksLLM safety and security → Membership inference attacks
- Flow-Guided Diffusion for Video InpaintingDiffusion models → 3D, point cloud and scene generation
- BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models from Chest X-Ray ImagesDiffusion models → Medical imaging and segmentation
- Unlearning via Sparse RepresentationsLLM safety and security → Machine unlearning
- NeuRAD: Neural Rendering for Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Double Reverse Regularization Network Based on Self-Knowledge Distillation for SAR Object ClassificationKnowledge distillation → Detection and dense prediction distillation
- See and Think: Embodied Agent in Virtual EnvironmentLLM reasoning → Spatial and embodied reasoning +1
- Query-LIFE: Query-aware Language Image Fusion Embedding for E-Commerce RelevanceMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Enhancing Trajectory Prediction through Self-Supervised Waypoint Noise Prediction
- ChatGPT Application In Summarizing An Evolution Of Deep Learning Techniques In Imaging: A Qualitative Study
- Leveraging AI-derived Data for Carbon Accounting: Information Extraction from Alternative Sources
- Exploring the Robustness of Model-Graded Evaluations and Automated Interpretability
- Comparative Analysis of ChatGPT, GPT-4, and Microsoft Bing Chatbots for GRE Test
- Large Language Models in Law: A Survey
- Transforming organic chemistry research paradigms: moving from manual efforts to the intersection of automation and artificial intelligence
- AI-driven E-Liability Knowledge Graphs: A Comprehensive Framework for Supply Chain Carbon Accounting and Emissions Liability Management
- Advancing AI Audits for Enhanced AI Governance
- Context-Aware Indoor Point Cloud Object Generation through User Instructions
- Seeing Eye to AI: Comparing Human Gaze and Model Attention in Video Memorability
- GS-IR: 3D Gaussian Splatting for Inverse Rendering
- Variational Exploration Module VEM: A Cloud-Native Optimization and Validation Tool for Geospatial Modeling and AI Workflows
- A Foundational Framework and Methodology for Personalized Early and Timely Diagnosis
- Students' interest in knowledge acquisition in Artificial Intelligence
- Utilizing Multiple Inputs Autoregressive Models for Bearing Remaining Useful Life Prediction
- Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection
- Uncertainty-aware Language Modeling for Selective Question Answering
- GGNNs : Generalizing GNNs using Residual Connections and Weighted Message Passing
- FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration
- Efficient Encoding of Graphics Primitives with Simplex-based Structures
- ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report]
- Quality Modeling Under A Relaxed Natural Scene Statistics Model
- Learning to Skip for Language Modeling
- Machine-Generated Text Detection using Deep Learning
- Wired Perspectives: Multi-View Wire Art Embraces Generative AI
- Data-Driven Modelling for Harmonic Current Emission in Low-Voltage Grid Using MCReSANet with Interpretability Analysis
- Frobenius-Type Norms and Inner Products of Matrices and Linear Maps with Applications to Neural Network Training
- GAN-Based LiDAR Intensity Simulation
- KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All
- Applying statistical learning theory to deep learning
- Learning Section Weights for Multi-Label Document Classification
- A Framework for Realistic Simulation of Daily Human Activity
- Optimally Teaching a Linear Behavior Cloning Agent
- ConstraintMatch for Semi-constrained Clustering
- Local Convergence of Approximate Newton Method for Two Layer Nonlinear Regression
- Spectro-ViT: A Vision Transformer Model for GABA-edited MRS Reconstruction Using Spectrograms
- Dirichlet Process-based Robust Clustering using the Median-of-Means Estimator
- Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding
- Evaluating Multi-Global Server Architecture for Federated Learning
- TD-Net: A Tri-domain network for sparse-view CT reconstruction
- BatchNorm-based Weakly Supervised Video Anomaly Detection
- Untargeted Code Authorship Evasion with Seq2Seq Transformation
- A convergence result of a continuous model of deep learning via a Lojasiewicz--Simon inequality
- Ultra-Range Gesture Recognition using a Web-Camera in Human-Robot Interaction
- Having Second Thoughts? Let's hear it
- Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning
- Adversarial Purification of Information Masking
- TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration
- ASI: Accuracy-Stability Index for Evaluating Deep Learning Models
- How much data do I need? A case study on medical data
- FRAC-Q-Learning: A Reinforcement Learning with Boredom Avoidance Processes for Social Robots
- Lightweight Face Recognition: An Improved MobileFaceNet Model
- Perspective in Opinion Dynamics on Complex Convex Domains of Time Networks for Addiction, Forgetting
- Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs
- Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference
- Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs
- AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset
- Sketch Video Synthesis
- Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement
- Eye Disease Prediction using Ensemble Learning and Attention on OCT Scans
- A Data-driven and multi-agent decision support system for time slot management at container terminals: A case study for the Port of Rotterdam
- Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization
- UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation
- Obj-NeRF: Extract Object NeRFs from Multi-view Images
- Spatial and Temporal Characteristics of Freight Tours: A Data-Driven Exploratory Analysis
- Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs
- Efficient Rehearsal Free Zero Forgetting Continual Learning using Adaptive Weight Modulation
- An Intelligent-Detection Network for Handwritten Mathematical Expression Recognition
- Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search
- ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images
- Revealing Cortical Layers In Histological Brain Images With Self-Supervised Graph Convolutional Networks Applied To Cell-Graphs
- Algorithm Evolution Using Large Language Model
- ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
- CalibFormer: A Transformer-based Automatic LiDAR-Camera Calibration Network
- A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation
- GAIA: Zero-shot Talking Avatar Generation
- One-bit Supervision for Image Classification: Problem, Solution, and Beyond
- Decision Tree Psychological Risk Assessment in Currency Trading
- The Local Landscape of Phase Retrieval Under Limited Samples
- Real-Time Online Stock Forecasting Utilizing Integrated Quantitative and Qualitative Analysis
- Solve Large-scale Unit Commitment Problems by Physics-informed Graph Learning
- A Novel Normalized-Cut Solver with Nearest Neighbor Hierarchical Initialization
- Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation
- Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation
- Topology-enhanced machine learning for speech signal processing
- LongStory: Coherent, Complete and Length Controlled Long story Generation
All 119
- Efficient interpolation of molecular properties across chemical compound space with low-dimensional descriptors
- Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding
- Dual-stream contrastive predictive network with joint handcrafted feature view for SAR ship classification
- SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification
- ChatGPT and Beyond: The Generative AI Revolution in Education
- Understanding the Countably Infinite: Neural Network Models of the Successor Function and its Acquisition
- IA-LSTM: Interaction-Aware LSTM for Pedestrian Trajectory Prediction
- Benchmarking Large Language Model Volatility
- HumanRecon: Neural Reconstruction of Dynamic Human Using Geometric Cues and Physical Priors
- A Data-Driven Approach for High-Impedance Fault Localization in Distribution Systems
- Self-supervised OCT Image Denoising with Slice-to-Slice Registration and Reconstruction
- Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off
- Deep Learning-Based Approaches for Contactless Fingerprints Segmentation and Extraction
- Domain Knowledge Injection in Bayesian Search for New Materials
- Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning
- Advancing Vision Transformers with Group-Mix Attention
- xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data
- Predicting Gradient is Better: Exploring Self-Supervised Learning for SAR ATR with a Joint-Embedding Predictive Architecture
- Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization