Papers
Thu 2 Sep 2021
142 papers
- Reinforcement Learning for Battery Energy Storage Dispatch augmented with Model-based OptimizerOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Multi-Agent Inverse Reinforcement Learning: Suboptimal Demonstrations and Alternative Solution ConceptsOffline RL and imitation learning from data → Inverse reinforcement learning
- Learning to Prompt for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Interactively Providing Explanations for Transformer Language Models
- Combining Transformers with Natural Language Explanations
- Tree-Constrained Graph Neural Networks For Argument Mining
- MutualGraphNet: A novel model for motor imagery classification
- Assessing Machine Learning Approaches to Address IoT Sensor Drift
- Severity and Mortality Prediction Models to Triage Indian COVID-19 Patients
- Top-N Recommendation with Counterfactual User Preference Simulation
- Parkinson's Disease Diagnosis based on Gait Cycle Analysis Through an Interpretable Interval Type-2 Neuro-Fuzzy System
- Application of Monte Carlo Stochastic Optimization (MOST) to Deep Learning
- A Critical Review of the state-of-the-art on Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes
- Data science and Machine learning in the Clouds: A Perspective for the Future
- Artificial Intelligence in Dry Eye Disease
- A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting
- MACEst: The reliable and trustworthy Model Agnostic Confidence Estimator
- Computing Graph Descriptors on Edge Streams
- Studying the Effects of Self-Attention for Medical Image Analysis
- MitoDet: Simple and robust mitosis detection
- Do Prompt-Based Models Really Understand the Meaning of their Prompts?
- Two Shifts for Crop Mapping: Leveraging Aggregate Crop Statistics to Improve Satellite-based Maps in New Regions
- Entity Linking and Discovery via Arborescence-based Supervised Clustering
- An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction
- DeepTracks: Geopositioning Maritime Vehicles in Video Acquired from a Moving Platform
- Multimodal Conditionality for Natural Language Generation
- So Cloze yet so Far: N400 Amplitude is Better Predicted by Distributional Information than Human Predictability Judgements
- An Oracle and Observations for the OpenAI Gym / ALE Freeway Environment
- A Reliable, Self-Adaptive Face Identification Framework via Lyapunov Optimization
- Quantifying Reproducibility in NLP and ML
- Similarity of Sentence Representations in Multilingual LMs: Resolving Conflicting Literature and Case Study of Baltic Languages
- Assisting Decision Making in Scholarly Peer Review: A Preference Learning Perspective
- Remote Multilinear Compressive Learning with Adaptive Compression
- roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs
- Optimal Target Shape for LiDAR Pose Estimation
- Challenges in Generalization in Open Domain Question Answering
- The Power of Points for Modeling Humans in Clothing
- Sequence-to-Sequence Learning with Latent Neural Grammars
- A New Semi-Automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences
- NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
- Domain-Robust Mitotic Figure Detection with Style Transfer
- Benchmarking the Robustness of Instance Segmentation Models
- A Reasoning Engine for the Gamification of Loop-Invariant Discovery
- Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models
- An Empirical Study of Graph Contrastive Learning
- Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
- Solving Inverse Problems with Conditional-GAN Prior via Fast Network-Projected Gradient Descent
- How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?
- The Functional Correspondence Problem
- What Users Want? WARHOL: A Generative Model for Recommendation
- On-target Adaptation
- Cascade RCNN for MIDOG Challenge
- Text Classification for Predicting Multi-level Product Categories
- Transformer Networks for Data Augmentation of Human Physical Activity Recognition
- Optimization and Sampling Under Continuous Symmetry: Examples and Lie Theory
- Skim-Attention: Learning to Focus via Document Layout
- Optimal subgroup selection
- Towards disease-aware image editing of chest X-rays
- SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting
- 4D-Net for Learned Multi-Modal Alignment
- Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians
- Shot boundary detection method based on a new extensive dataset and mixed features
- Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
- Characterizing possible failure modes in physics-informed neural networks
- Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation
- MrSQM: Fast Time Series Classification with Symbolic Representations
- Extended Object Tracking Using Sets Of Trajectories with a PHD Filter
- Dynamic Scene Novel View Synthesis via Deferred Spatio-temporal Consistency
- On Dedicated CDCL Strategies for PB Solvers
- Waveform Learning for Next-Generation Wireless Communication Systems
- LegaLMFiT: Efficient Short Legal Text Classification with LSTM Language Model Pre-Training
- CrypTen: Secure Multi-Party Computation Meets Machine Learning
- Accurate shape and phase averaging of time series through Dynamic Time Warping
- Infrared Image Super-Resolution via Heterogeneous Convolutional WGAN
- Building Compact and Robust Deep Neural Networks with Toeplitz Matrices
- TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian crossing prediction
- GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps
- Adversarial Robustness for Unsupervised Domain Adaptation
- Coordinating Narratives and the Capitol Riots on Parler
- SetMargin Loss applied to Deep Keystroke Biometrics with Circle Packing Interpretation
- A Comparative Study of Algorithms for Intelligent Traffic Signal Control
- Impact of Attention on Adversarial Robustness of Image Classification Models
- Coarse-To-Fine And Cross-Lingual ASR Transfer
- Sparsifying the Update Step in Graph Neural Networks
- FA-GAN: Feature-Aware GAN for Text to Image Synthesis
- MultiEURLEX -- A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer
- Effect of the output activation function on the probabilities and errors in medical image segmentation
- MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization
- Habitual and Reflective Control in Hierarchical Predictive Coding
- Real World Robustness from Systematic Noise
- Generative Models for Multi-Illumination Color Constancy
- VORRT-COLREGs: A Hybrid Velocity Obstacles and RRT Based COLREGs-Compliant Path Planner for Autonomous Surface Vessels
- CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
- Optimal Path Planning of Autonomous Marine Vehicles in Stochastic Dynamic Ocean Flows using a GPU-Accelerated Algorithm
- Inferring feature importance with uncertainties in high-dimensional data
- Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge
- Self-timed Reinforcement Learning using Tsetlin Machine
- Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning
- An Automated Framework for Supporting Data-Governance Rule Compliance in Decentralized MIMO Contexts
- Mapper-type algorithms for complex data and relations
All 142
- SlowFast Rolling-Unrolling LSTMs for Action Anticipation in Egocentric Videos
- Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) Challenge
- NASI: Label- and Data-agnostic Neural Architecture Search at Initialization
- Deep Learning-based mitosis detection in breast cancer histologic samples
- Built Year Prediction from Buddha Face with Heterogeneous Labels
- Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse
- Brief View and Analysis to Latest Android Security Issues and Approaches
- Anatomical-Guided Attention Enhances Unsupervised PET Image Denoising Performance
- MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers
- Multi-Modal Zero-Shot Sign Language Recognition
- Semi-Supervised Learning using Siamese Networks
- Transfer of Pretrained Model Weights Substantially Improves Semi-Supervised Image Classification
- Computer Vision Self-supervised Learning Methods on Time Series
- Non-Photorealistic Rendering of Layered Materials: A Multispectral Approach
- Better Self-training for Image Classification through Self-supervision
- Direct PET Image Reconstruction Incorporating Deep Image Prior and a Forward Projection Model
- Energy-Efficient Multi-Orchestrator Mobile Edge Learning
- Learning 3D Mineral Prospectivity from 3D Geological Models Using Convolutional Neural Networks: Application to a Structure-controlled Hydrothermal Gold Deposit
- Neural News Recommendation with Collaborative News Encoding and Structural User Encoding
- Co-Separable Nonnegative Matrix Factorization
- End-to-End Demand Response Model Identification and Baseline Estimation with Deep Learning
- ConQX: Semantic Expansion of Spoken Queries for Intent Detection based on Conditioned Text Generation
- Some Inapproximability Results of MAP Inference and Exponentiated Determinantal Point Processes
- Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
- RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce
- Heterogeneous relational message passing networks for molecular dynamics simulations
- Efficient Algorithms For Fair Clustering with a New Fairness Notion
- Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study
- ShopTalk: A System for Conversational Faceted Search
- Machine learning moment closure models for the radiative transfer equation III: enforcing hyperbolicity and physical characteristic speeds
- FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentation
- An Empirical Exploration in Quality Filtering of Text Data
- AnANet: Modeling Association and Alignment for Cross-modal Correlation Classification
- Global Convolutional Neural Processes
- Excess Capacity and Backdoor Poisoning
- Deep Face Video Inpainting via UV Mapping
- Regional Adversarial Training for Better Robust Generalization
- FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning
- Variable Augmented Network for Invertible Modality Synthesis-Fusion
- Towards Making the Most of Dialogue Characteristics for Neural Chat Translation
- TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks
- Controllable deep melody generation via hierarchical music structure representation