Papers
Tue 9 Nov 2021
139 papers
- FILIP: Fine-grained Interactive Language-Image Pre-TrainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Dealing with the Unknown: Pessimistic Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at ScaleOffline RL and imitation learning from data → Robot manipulation imitation learning
- Membership Inference Attacks Against Self-supervised Speech ModelsLLM safety and security → Membership inference attacks
- On Representation Knowledge Distillation for Graph Neural NetworksKnowledge distillation → Graph neural network distillation
- What goes on inside rumour and non-rumour tweets and their reactions: A Psycholinguistic Analyses
- Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes
- An AI-based Solution for Enhancing Delivery of Digital Learning for Future Teachers
- Improving Next-Application Prediction with Deep Personalized-Attention Neural Network
- Learning Ultrasound Scanning Skills from Human Demonstrations
- On minimizers and convolutional filters: theoretical connections and applications to genome analysis
- A Spatial-temporal Graph Deep Learning Model for Urban Flood Nowcasting Leveraging Heterogeneous Community Features
- Complementary Ensemble Learning
- RapidRead: Global Deployment of State-of-the-art Radiology AI for a Large Veterinary Teleradiology Practice
- Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis
- Data privacy protection in microscopic image analysis for material data mining
- PIMIP: An Open Source Platform for Pathology Information Management and Integration
- HARPO: Learning to Subvert Online Behavioral Advertising
- Early Myocardial Infarction Detection over Multi-view Echocardiography
- Which priors matter? Benchmarking models for learning latent dynamics
- DP-REC: Private & Communication-Efficient Federated Learning
- Importance of Kernel Bandwidth in Quantum Machine Learning
- Towards Active Vision for Action Localization with Reactive Control and Predictive Learning
- Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers
- Constrained Instance and Class Reweighting for Robust Learning under Label Noise
- DistIR: An Intermediate Representation and Simulator for Efficient Neural Network Distribution
- Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder
- A Computational Approach to Walt Whitman's Stylistic Changes in Leaves of Grass
- MNet-Sim: A Multi-layered Semantic Similarity Network to Evaluate Sentence Similarity
- Leveraging the Graph Structure of Neural Network Training Dynamics
- Pipeline for 3D reconstruction of the human body from AR/VR headset mounted egocentric cameras
- Robust deep learning-based semantic organ segmentation in hyperspectral images
- Learning Logic Rules for Document-level Relation Extraction
- Object-Centric Representation Learning with Generative Spatial-Temporal Factorization
- Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation
- Statistical Perspectives on Reliability of Artificial Intelligence Systems
- Subtyping patients with chronic disease using longitudinal BMI patterns
- DataWords: Getting Contrarian with Text, Structured Data and Explanations
- Graph Matching via Optimal Transport
- Classifying Human Activities with Inertial Sensors: A Machine Learning Approach
- Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity
- Data Augmentation Can Improve Robustness
- The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
- Variational Multi-Task Learning with Gumbel-Softmax Priors
- Turing-Universal Learners with Optimal Scaling Laws
- Robust Estimation for Random Graphs
- Monocular Human Shape and Pose with Dense Mesh-borne Local Image Features
- A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation
- Mode connectivity in the loss landscape of parameterized quantum circuits
- Designing and Analyzing the PID and Fuzzy Control System for an Inverted Pendulum
- Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time
- Machine-learning custom-made basis functions for partial differential equations
- Identifying the atmospheric drivers of drought and heat using a smoothed deep learning approach
- Double Control Variates for Gradient Estimation in Discrete Latent Variable Models
- Can Information Flows Suggest Targets for Interventions in Neural Circuits?
- Sliced Recursive Transformer
- Generalization in quantum machine learning from few training data
- Unsupervised Spiking Instance Segmentation on Event Data using STDP
- Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection
- Towards a Unified Information-Theoretic Framework for Generalization
- Logarithmic Regret from Sublinear Hints
- Learning Perceptual Concepts by Bootstrapping from Human Queries
- A Survey of NLP-Related Crowdsourcing HITs: what works and what does not
- Learning Rates for Nonconvex Pairwise Learning
- MLHarness: A Scalable Benchmarking System for MLCommons
- Leveraging blur information for plenoptic camera calibration
- Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition
- A research framework for writing differentiable PDE discretizations in JAX
- A Topological Data Analysis Based Classifier
- Reason first, then respond: Modular Generation for Knowledge-infused Dialogue
- Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information
- Harmless interpolation in regression and classification with structured features
- NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation
- Does Thermal data make the detection systems more reliable?
- On Training Implicit Models
- CAESynth: Real-Time Timbre Interpolation and Pitch Control with Conditional Autoencoders
- Exploiting Robust Unsupervised Video Person Re-identification
- Self-checking Logical Agents
- Ethically aligned Deep Learning: Unbiased Facial Aesthetic Prediction
- Tackling Morphological Analogies Using Deep Learning -- Extended Version
- Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or Something Else?
- Using sequential drift detection to test the API economy
- Approaching the Limit of Image Rescaling via Flow Guidance
- Residual Quantity in Percentage of Factory Machines Using Computer Vision and Mathematical Methods
- Enhancing Backdoor Attacks with Multi-Level MMD Regularization
- MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
- Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation
- Universal Lower Bound for Learning Causal DAGs with Atomic Interventions
- Neural News Recommendation with Event Extraction
- Deep Convolution Network Based Emotion Analysis for Automatic Detection of Mild Cognitive Impairment in the Elderly
- Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search
- Look back, look around: a systematic analysis of effective predictors for new outlinks in focused Web crawling
- View Birdification in the Crowd: Ground-Plane Localization from Perceived Movements
- MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID
- MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction
- Multimodal intelligibility of scholarly hypertext: the documentalist's contribution. A required collaboration for serial documentisation in the scientific editorial process
- Classifying DNS Servers based on Response Message Matrix using Machine Learning
- An effective hybrid search algorithm for the multiple traveling repairman problem with profits
- GDCA: GAN-based single image super resolution with Dual discriminators and Channel Attention
- Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks
All 139
- RAVE: A variational autoencoder for fast and high-quality neural audio synthesis
- Misspecified Gaussian Process Bandit Optimization
- Phantom: A High-Performance Computational Core for Sparse Convolutional Neural Networks
- Learning Numerical Action Models from Noisy Input Data
- Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition
- Ultra-Low Power Keyword Spotting at the Edge
- Video Text Tracking With a Spatio-Temporal Complementary Model
- Unified Group Fairness on Federated Learning
- Bilinear pooling and metric learning network for early Alzheimer's disease identification with FDG-PET images
- Dynamic Parameterized Network for CTR Prediction
- Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation
- Wasserstein Adversarially Regularized Graph Autoencoder
- Analysis of Sectoral Profitability of the Indian Stock Market Using an LSTM Regression Model
- Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning
- Time-Varying Channel Prediction for RIS-Assisted MU-MISO Networks via Deep Learning
- American Hate Crime Trends Prediction with Event Extraction
- A Survey and Empirical Evaluation of Parallel Deep Learning Frameworks
- Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement
- PREMA: Part-based REcurrent Multi-view Aggregation Network for 3D Shape Retrieval
- Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting
- Solving PDE-constrained Control Problems Using Operator Learning
- Exploratory Factor Analysis of Data on a Sphere
- An Interactive Visualization Tool for Understanding Active Learning
- DSBERT:Unsupervised Dialogue Structure learning with BERT
- Optimizing Bayesian acquisition functions in Gaussian Processes
- SAFA: Structure Aware Face Animation
- Self-Interpretable Model with TransformationEquivariant Interpretation
- Building an AI-ready RSE Workforce
- Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers
- Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion
- FPM: A Collection of Large-scale Foundation Pre-trained Language Models
- The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection
- Label-Aware Distribution Calibration for Long-tailed Classification
- Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives
- Safe Policy Optimization with Local Generalized Linear Function Approximations
- Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation
- Active Linear Regression for ℓp Norms and Beyond
- Universal Lesion Detection in CT Scans using Neural Network Ensembles
- Lymph Node Detection in T2 MRI with Transformers