Papers
Wed 31 Aug 2022
131 papers
- MotionDiffuse: Text-Driven Human Motion Generation with Diffusion ModelDiffusion models → Video generation
- Membership Inference Attacks by Exploiting Loss TrajectoryLLM safety and security → Membership inference attacks
- Let us Build Bridges: Understanding and Extending Diffusion Generative ModelsDiffusion models → Diffusion foundations and sampling
- DetailCLIP: Injecting Image Details into CLIP's Feature SpaceMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Efficient Sparsely Activated TransformersMixture-of-experts → Expert routing strategies
- Integrating wind variability to modelling wind-ramp events using a non-binary ramp function and deep learning models
- Proportoids
- Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning
- Table Detection in the Wild: A Novel Diverse Table Detection Dataset and Method
- Robustness of an Artificial Intelligence Solution for Diagnosis of Normal Chest X-Rays
- Library transfer between distinct Laser-Induced Breakdown Spectroscopy systems with shared standards
- Zydeco-Style Spike Sorting Low Power VLSI Architecture for IoT BCI Implants
- Deep Multi-Scale Representation Learning with Attention for Automatic Modulation Classification
- Unrestricted Adversarial Samples Based on Non-semantic Feature Clusters Substitution
- MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition
- AutoPET Challenge 2022: Automatic Segmentation of Whole-body Tumor Lesion Based on Deep Learning and FDG PET/CT
- Long-term hail risk assessment with deep neural networks
- Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure
- Ranking-Based Physics-Informed Line Failure Detection in Power Grids
- Are we measuring trust correctly in explainability, interpretability, and transparency research?
- Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition
- Monotonic Gaussian process for physics-constrained machine learning with materials science applications
- Classification of Electroencephalograms during Mathematical Calculations Using Deep Learning
- MA-RECON: Mask-aware deep-neural-network for robust fast MRI k-space interpolation
- Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation
- Group Activity Recognition in Basketball Tracking Data -- Neural Embeddings in Team Sports (NETS)
- Intelligent Traffic Monitoring with Hybrid AI
- Contextualized language models for semantic change detection: lessons learned
- The Infinitesimal Jackknife and Combinations of Models
- Partial Counterfactual Identification for Infinite Horizon Partially Observable Markov Decision Process
- The Fellowship of the Authors: Disambiguating Names from Social Network Context
- Evaluating generative audio systems and their metrics
- Archangel: A Hybrid UAV-based Human Detection Benchmark with Position and Pose Metadata
- Tradeoffs in Resampling and Filtering for Imbalanced Classification
- A general framework for the analysis of kernel-based tests
- Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI
- Tree-Based Adaptive Model Learning
- An evaluation framework for comparing causal inference models
- A DeepParticle method for learning and generating aggregation patterns in multi-dimensional Keller-Segel chemotaxis systems
- Efficient Methods for Natural Language Processing: A Survey
- RecLight: A Recurrent Neural Network Accelerator with Integrated Silicon Photonics
- Feynman on Artificial Intelligence and Machine Learning, with Updates
- Multi-View Reconstruction using Signed Ray Distance Functions (SRDF)
- Supervised Contrastive Learning with Hard Negative Samples
- Two-stage Hypothesis Tests for Variable Interactions with FDR Control
- Incorporating Task-specific Concept Knowledge into Script Learning
- ViA: View-invariant Skeleton Action Representation Learning via Motion Retargeting
- Class-Aware Attention for Multimodal Trajectory Prediction
- Computational design of antimicrobial active surfaces via automated Bayesian optimization
- Be Your Own Neighborhood: Detecting Adversarial Example by the Neighborhood Relations Built on Self-Supervised Learning
- Discovering Conservation Laws using Optimal Transport and Manifold Learning
- Learning Multiscale Non-stationary Causal Structures
- Inverse Propensity Score based offline estimator for deterministic ranking lists using position bias
- Zero-day DDoS Attack Detection
- Concept Gradient: Concept-based Interpretation Without Linear Assumption
- Deep-Learning-Based Device Fingerprinting for Increased LoRa-IoT Security: Sensitivity to Network Deployment Changes
- Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case
- A Realism Metric for Generated LiDAR Point Clouds
- Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features
- Cell-Free Latent Go-Explore
- Learning Tree Structures from Leaves For Particle Decay Reconstruction
- Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks
- ARMA Cell: A Modular and Effective Approach for Neural Autoregressive Modeling
- Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation
- LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data
- Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation
- GRILLBot: An Assistant for Real-World Tasks with Neural Semantic Parsing and Graph-Based Representations
- Binary Representation via Jointly Personalized Sparse Hashing
- Hierarchical Local-Global Transformer for Temporal Sentence Grounding
- Formalising the Robustness of Counterfactual Explanations for Neural Networks
- Intelligent Closed-loop RAN Control with xApps in OpenRAN Gym
- NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation
- Automatic Identification of Coal and Rock/Gangue Based on DenseNet and Gaussian Process
- Federated Online Clustering of Bandits
- Style-Agnostic Reinforcement Learning
- Active Learning with Effective Scoring Functions for Semi-Supervised Temporal Action Localization
- Dual-Space NeRF: Learning Animatable Avatars and Scene Lighting in Separate Spaces
- Attentive pooling for Group Activity Recognition
- Listen2YourHeart: A Self-Supervised Approach for Detecting Murmur in Heart-Beat Sounds
- QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise
- Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
- Deep Anomaly Detection and Search via Reinforcement Learning
- Predicting spatial distribution of Palmer Drought Severity Index
- A Fair Experimental Comparison of Neural Network Architectures for Latent Representations of Multi-Omics for Drug Response Prediction
- Learning Automata-Based Complex Event Patterns in Answer Set Programming
- Cadence Detection in Symbolic Classical Music using Graph Neural Networks
- PyTorch Image Quality: Metrics for Image Quality Assessment
- Sparsification of the regularized magnetic Laplacian with multi-type spanning forests
- 3DLG-Detector: 3D Object Detection via Simultaneous Local-Global Feature Learning
- Negative Human Rights as a Basis for Long-term AI Safety and Regulation
- Practical Operator Sketching Framework for Accelerating Iterative Data-Driven Solutions in Inverse Problems
- SimpleRecon: 3D Reconstruction Without 3D Convolutions
- Enhancing Early Lung Cancer Detection on Chest Radiographs with AI-assistance: A Multi-Reader Study
- Cluster-based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract)
- Scatter Points in Space: 3D Detection from Multi-view Monocular Images
- Open Challenges in Musical Metacreation
- A stabilizing reinforcement learning approach for sampled systems with partially unknown models
- Classical-to-quantum convolutional neural network transfer learning
- Transfering Low-Frequency Features for Domain Adaptation
- ELMformer: Efficient Raw Image Restoration with a Locally Multiplicative Transformer
All 131
- Bayesian Optimization-based Combinatorial Assignment
- Modelling and Detection of Driver's Fatigue using Ontology
- Deep Reinforcement Learning for Uplink Multi-Carrier Non-Orthogonal Multiple Access Resource Allocation Using Buffer State Information
- TRUST: An Accurate and End-to-End Table structure Recognizer Using Splitting-based Transformers
- NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results
- Iterative Optimization of Pseudo Ground-Truth Face Image Quality Labels
- When Variable-Length Codes Meet the Field of Error Detection
- Incremental Learning in Diagonal Linear Networks
- AWADA: Attention-Weighted Adversarial Domain Adaptation for Object Detection
- Unifying Evaluation of Machine Learning Safety Monitors
- EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing
- XCAT -- Lightweight Quantized Single Image Super-Resolution using Heterogeneous Group Convolutions and Cross Concatenation
- Unified Knowledge Prompt Pre-training for Customer Service Dialogues
- An Empirical Study and Analysis of Learning Generalizable Manipulation Skill in the SAPIEN Simulator
- Generating Intermediate Steps for NLI with Next-Step Supervision
- Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks
- Application of Data Encryption in Chinese Named Entity Recognition
- Temporal Flow Mask Attention for Open-Set Long-Tailed Recognition of Wild Animals in Camera-Trap Images
- Audiogram Digitization Tool for Audiological Reports
- Fine-Grained Distribution-Dependent Learning Curves
- Non-readily identifiable data collaboration analysis for multiple datasets including personal information
- SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization
- Blind Quality Assessment of 3D Dense Point Clouds with Structure Guided Resampling
- Continuous QA Learning with Structured Prompts
- A topic-aware graph neural network model for knowledge base updating
- ELSR: Extreme Low-Power Super Resolution Network For Mobile Devices
- One-class Recommendation Systems with the Hinge Pairwise Distance Loss and Orthogonal Representations
- Light curve completion and forecasting using fast and scalable Gaussian processes (MuyGPs)
- Few-shot Adaptive Object Detection with Cross-Domain CutMix
- The Glass Ceiling of Automatic Evaluation in Natural Language Generation
- A Prescriptive Learning Analytics Framework: Beyond Predictive Modelling and onto Explainable AI with Prescriptive Analytics and ChatGPT