Papers
Fri 1 Jul 2022
144 papers
- COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep reinforcement learningEnd-to-end autonomous driving → Cooperative and V2X driving
- Offline Policy Optimization with Eligible ActionsOffline RL and imitation learning from data → Offline RL algorithms
- FitHuBERT: Going Thinner and Deeper for Knowledge Distillation of Speech Self-Supervised LearningKnowledge distillation → Speech and audio distillation
- Lifelong Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
- Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving
- Discriminator-Guided Model-Based Offline Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and RelationsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- MMFN: Multi-Modal-Fusion-Net for End-to-End DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Stock Performance Evaluation for Portfolio Design from Different Sectors of the Indian Stock Market
- Topological Data Analysis of Neural Network Layer Representations
- Comparative Analysis of State-of-the-Art Deep Learning Models for Detecting COVID-19 Lung Infection from Chest X-Ray Images
- A Polyphone BERT for Polyphone Disambiguation in Mandarin Chinese
- Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI
- Learning Classifier Systems for Self-Explaining Socio-Technical-Systems
- An Integrated System of Drug Matching and Abnormal Approval Number Correction
- Efficient Adversarial Training With Data Pruning
- Few-shot incremental learning in the context of solar cell quality inspection
- American == White in Multimodal Language-and-Image AI
- Building African Voices
- Transforming PageRank into an Infinite-Depth Graph Neural Network
- The NPC AI of The Last of Us: A case study
- Infinite-Fidelity Coregionalization for Physical Simulation
- DRESS: Dynamic REal-time Sparse Subnets
- nu-Flows: Conditional Neutrino Regression
- Improving Low-Resource Speech Recognition with Pretrained Speech Models: Continued Pretraining vs. Semi-Supervised Training
- On the Computational Efficiency of Adaptive and Dynamic Regret Minimization
- Using a cognitive architecture to consider antiBlackness in design and development of AI systems
- Action-modulated midbrain dopamine activity arises from distributed control policies
- QA Is the New KR: Question-Answer Pairs as Knowledge Bases
- Interactive Learning from Natural Language and Demonstrations using Signal Temporal Logic
- Projectivity revisited
- Integral Probability Metrics PAC-Bayes Bounds
- FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy
- A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding
- Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution
- Identification of Binary Neutron Star Mergers in Gravitational-Wave Data Using YOLO One-Shot Object Detection
- On Leave-One-Out Conditional Mutual Information For Generalization
- Video + CLIP Baseline for Ego4D Long-term Action Anticipation
- How can spherical CNNs benefit ML-based diffusion MRI parameter estimation?
- Is neural language acquisition similar to natural? A chronological probing study
- Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml
- Learning to correct spectral methods for simulating turbulent flows
- Reduce Indonesian Vocabularies with an Indonesian Sub-word Separator
- Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs
- The "AI+R"-tree: An Instance-optimized R-tree
- Transforming Image Generation from Scene Graphs
- Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds
- Deep Learning and Symbolic Regression for Discovering Parametric Equations
- Behavioral Player Rating in Competitive Online Shooter Games
- Ray-Space Motion Compensation for Lenslet Plenoptic Video Coding
- Using Machine Learning to Anticipate Tipping Points and Extrapolate to Post-Tipping Dynamics of Non-Stationary Dynamical Systems
- Enhancing cluster analysis via topological manifold learning
- How Far Can I Go ? : A Self-Supervised Approach for Deterministic Video Depth Forecasting
- Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification
- MotionMixer: MLP-based 3D Human Body Pose Forecasting
- Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer
- Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound
- Learning Job Titles Similarity from Noisy Skill Labels
- Simulating financial time series using attention
- Panning for gold: Lessons learned from the platform-agnostic automated detection of political content in textual data
- Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
- Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization
- Vision-based Conflict Detection within Crowds based on High-Resolution Human Pose Estimation for Smart and Safe Airport
- Online Reflective Learning for Robust Medical Image Segmentation
- Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound
- Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling
- Assessing the Effects of Hyperparameters on Knowledge Graph Embedding Quality
- Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings
- Exploring the solution space of linear inverse problems with GAN latent geometry
- SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors
- Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
- Using Neural Networks for Novelty-based Test Selection to Accelerate Functional Coverage Closure
- Implicit adaptation of mesh model of transient heat conduction problem
- Shai-am: A Machine Learning Platform for Investment Strategies
- How trial-to-trial learning shapes mappings in the mental lexicon: Modelling Lexical Decision with Linear Discriminative Learning
- Modular Lifelong Reinforcement Learning via Neural Composition
- Swiss German Speech to Text system evaluation
- Autonomous Intraluminal Navigation of a Soft Robot using Deep-Learning-based Visual Servoing
- WNet: A data-driven dual-domain denoising model for sparse-view computed tomography with a trainable reconstruction layer
- Conditional Generation with a Question-Answering Blueprint
- Better Methods and Theory for Federated Learning: Compression, Client Selection and Heterogeneity
- A Theoretical Analysis of the Learning Dynamics under Class Imbalance
- Analysis of Kinetic Models for Label Switching and Stochastic Gradient Descent
- ReLER@ZJU-Alibaba Submission to the Ego4D Natural Language Queries Challenge 2022
- Rapid training of quantum recurrent neural networks
- Anisotropic, Sparse and Interpretable Physics-Informed Neural Networks for PDEs
- Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts
- Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models
- A geometric framework for outlier detection in high-dimensional data
- Toward Low-Cost End-to-End Spoken Language Understanding
- Vers la compr'ehension automatique de la parole bout-en-bout `a moindre effort
- Fine-grained Correlation Loss for Regression
- HyperTensioN and Total-order Forward Decomposition optimizations
- Automatic Evaluation of Speaker Similarity
- A Deep-Learning-Aided Pipeline for Efficient Post-Silicon Tuning
- Conditional Variable Selection for Intelligent Test
- Literature on Hand GESTURE Recognition using Graph based methods
- TopicFM: Robust and Interpretable Topic-Assisted Feature Matching
- Learning Subject-Invariant Representations from Speech-Evoked EEG Using Variational Autoencoders
- CEDAR: Communication Efficient Distributed Analysis for Regressions
All 144
- Can we learn from developer mistakes? Learning to localize and repair real bugs from real bug fixes
- Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications
- Offset equivariant networks and their applications
- A Comparative Study of Graph Matching Algorithms in Computer Vision
- Learning to segment from object sizes
- Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems
- DALG: Deep Attentive Local and Global Modeling for Image Retrieval
- Learning Lattice Quantum Field Theories with Equivariant Continuous Flows
- (Un)likelihood Training for Interpretable Embedding
- BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label
- Local manifold learning and its link to domain-based physics knowledge
- Affordance Extraction with an External Knowledge Database for Text-Based Simulated Environments
- Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks
- Wavelet leader based formalism to compute multifractal features for classifying lung nodules in X-ray images
- Towards Two-view 6D Object Pose Estimation: A Comparative Study on Fusion Strategy
- COVID-19 Detection Using Transfer Learning Approach from Computed Tomography Images
- Unsupervised High-Resolution Portrait Gaze Correction and Animation
- Trajectory Forecasting on Temporal Graphs
- Analyzing the behaviour of D'WAVE quantum annealer: fine-tuning parameterization and tests with restrictive Hamiltonian formulations
- Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance
- Improving Speech Enhancement through Fine-Grained Speech Characteristics
- Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning
- Multi-features based Semantic Augmentation Networks for Named Entity Recognition in Threat Intelligence
- Keeping Less is More: Point Sparsification for Visual SLAM
- Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
- Polarized Color Image Denoising using Pocoformer
- Neural Parameterization for Dynamic Human Head Editing
- e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce
- Studying the impact of magnitude pruning on contrastive learning methods
- Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition
- Data generation using simulation technology to improve perception mechanism of autonomous vehicles
- Rethinking Query-Key Pairwise Interactions in Vision Transformers
- An Understanding-Oriented Robust Machine Reading Comprehension Model
- Recovering Detail in 3D Shapes Using Disparity Maps
- Deep Motion Network for Freehand 3D Ultrasound Reconstruction
- End-to-end cell recognition by point annotation
- When Does Differentially Private Learning Not Suffer in High Dimensions?
- Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models
- Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning
- ChrSNet: Chromosome Straightening using Self-attention Guided Networks
- Enriching Wikidata with Linked Open Data
- A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos
- Robustness of Epinets against Distributional Shifts
- Automated Quantum Circuit Design with Nested Monte Carlo Tree Search