Papers
Mon 3 May 2021
130 papers
- Initialization and Regularization of Factorized Neural LayersKnowledge distillation → General knowledge distillation methods
- Learning to drive from a world on railsEnd-to-end autonomous driving → Generative simulation for driving
- The Online Pivot: Lessons Learned from Teaching a Text and Data Mining Course in Lockdown, Enhancing online Teaching with Pair Programming and Digital Badges
- Looking for COVID-19 misinformation in multilingual social media texts
- Bring Your Own Codegen to Deep Learning Compiler
- Wearable and Continuous Prediction of Passage of Time Perception for Monitoring Mental Health
- Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective
- Effective Sparsification of Neural Networks with Global Sparsity Constraint
- Abstraction-Guided Truncations for Stationary Distributions of Markov Population Models
- Trust-Aware Planning: Modeling Trust Evolution in Iterated Human-Robot Interaction
- Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
- Multi-Target Multi-Camera Tracking of Vehicles using Metadata-Aided Re-ID and Trajectory-Based Camera Link Model
- LaboRecommender: A crazy-easy to use Python-based recommender system for laboratory tests
- Event Camera Simulator Design for Modeling Attention-based Inference Architectures
- All-Clear Flare Prediction Using Interval-based Time Series Classifiers
- Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification
- EBIC.JL -- an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia
- Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases
- Unreasonable Effectiveness of Rule-Based Heuristics in Solving Russian SuperGLUE Tasks
- Textual Analysis of Communications in COVID-19 Infected Community on Social Media
- Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding
- Automated Estimation of Total Lung Volume using Chest Radiographs and Deep Learning
- Scalar Adjective Identification and Multilingual Ranking
- Machine Learning Applications for Therapeutic Tasks with Genomics Data
- The Tracking Machine Learning challenge : Throughput phase
- Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks
- What can the millions of random treatments in nonexperimental data reveal about causes?
- Pedestrian Detection in 3D Point Clouds using Deep Neural Networks
- Modeling Social Readers: Novel Tools for Addressing Reception from Online Book Reviews
- Sketches image analysis: Web image search engine usingLSH index and DNN InceptionV3
- Learning Good State and Action Representations via Tensor Decomposition
- Prediction of clinical tremor severity using Rank Consistent Ordinal Regression
- Towards A Multi-agent System for Online Hate Speech Detection
- Fusing multimodal neuroimaging data with a variational autoencoder
- Context-aware demand prediction in bike sharing systems: incorporating spatial, meteorological and calendrical context
- Iterated learning for emergent systematicity in VQA
- Evolving Evaluation Functions for Collectible Card Game AI
- Consistent Density Estimation Under Discrete Mixture Models
- Reinforcement Learning for Ridesharing: An Extended Survey
- Process Model Forecasting Using Time Series Analysis of Event Sequence Data
- Collision Replay: What Does Bumping Into Things Tell You About Scene Geometry?
- Curious Representation Learning for Embodied Intelligence
- A Dataset and System for Real-Time Gun Detection in Surveillance Video Using Deep Learning
- Neural Monocular 3D Human Motion Capture with Physical Awareness
- Applied Language Technology: NLP for the Humanities
- SUPERB: Speech processing Universal PERformance Benchmark
- Act the Part: Learning Interaction Strategies for Articulated Object Part Discovery
- Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review
- Consumer Demand Modeling During COVID-19 Pandemic
- Algorithms are not neutral: Bias in collaborative filtering
- Embedded training of neural-network sub-grid-scale turbulence models
- Learning Graph Embeddings for Open World Compositional Zero-Shot Learning
- AI-assisted super-resolution cosmological simulations II: Halo substructures, velocities and higher order statistics
- Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization
- Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality
- Robotic Surgery With Lean Reinforcement Learning
- Automatic Collection Creation and Recommendation
- Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentation
- Recovering Barab'asi-Albert Parameters of Graphs through Disentanglement
- Robust Learning of Recurrent Neural Networks in Presence of Exogenous Noise
- Context-aware Ensemble of Multifaceted Factorization Models for Recommendation Prediction in Social Networks
- Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials
- Spectral clustering under degree heterogeneity: a case for the random walk Laplacian
- On the limit of English conversational speech recognition
- Russian News Clustering and Headline Selection Shared Task
- Trends, Limitations and Open Challenges in Automatic Readability Assessment Research
- Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
- UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
- CMA-Net: A Cascaded Mutual Attention Network for Light Field Salient Object Detection
- Explaining Outcomes of Multi-Party Dialogues using Causal Learning
- LFI-CAM: Learning Feature Importance for Better Visual Explanation
- Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection
- Deep Neural Network for Musical Instrument Recognition using MFCCs
- Bird-Area Water-Bodies Dataset (BAWD) and Predictive AI Model for Avian Botulism Outbreak (AVI-BoT)
- MemX: An Attention-Aware Smart Eyewear System for Personalized Moment Auto-capture
- Impact of Gender Debiased Word Embeddings in Language Modeling
- Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series
- Pseudo Siamese Network for Few-shot Intent Generation
- Teaching NLP outside Linguistics and Computer Science classrooms: Some challenges and some opportunities
- How Bayesian Should Bayesian Optimisation Be?
- Mixing Time Guarantees for Unadjusted Hamiltonian Monte Carlo
- RL-IoT: Reinforcement Learning to Interact with IoT Devices
- Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks
- Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!
- Semantic Journeys: Quantifying Change in Emoji Meaning from 2012-2018
- Switching Contexts: Transportability Measures for NLP
- Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference
- RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning
- Robust 3D Cell Segmentation: Extending the View of Cellpose
- Full-Reference Speech Quality Estimation with Attentional Siamese Neural Networks
- Improving Landslide Detection on SAR Data through Deep Learning
- Weakly supervised deep learning-based intracranial hemorrhage localization
- Recognition of Oracle Bone Inscriptions by using Two Deep Learning Models
- Fast Multi-Step Critiquing for VAE-based Recommender Systems
- Learning swimming escape patterns for larval fish under energy constraints
- Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward
- VECA : A Toolkit for Building Virtual Environments to Train and Test Human-like Agents
- Spectral Machine Learning for Pancreatic Mass Imaging Classification
- Synthetic Data for Model Selection
- Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation
All 130
- MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price
- Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks
- Causality-based Counterfactual Explanation for Classification Models
- Graph Learning: A Survey
- ResVGAE: Going Deeper with Residual Modules for Link Prediction
- Comparison Analysis of Facebook's Prophet, Amazon's DeepAR+ and CNN-QR Algorithms for Successful Real-World Sales Forecasting
- Heart-Darts: Classification of Heartbeats Using Differentiable Architecture Search
- Hybrid Intelligence
- Multi-modal Bifurcated Network for Depth Guided Image Relighting
- Learning by Design: Structuring and Documenting the Human Choices in Machine Learning Development
- S3Net: A Single Stream Structure for Depth Guided Image Relighting
- Bias in Knowledge Graphs -- an Empirical Study with Movie Recommendation and Different Language Editions of DBpedia
- Explaining how your AI system is fair
- Bounds of MIN_NCC and MAX_NCC and filtering scheme for graph domain variables
- An Algorithm for Recommending Groceries Based on an Item Ranking Method
- A novel hybrid methodology of measuring sentence similarity
- Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs
- One Model to Rule them All: Towards Zero-Shot Learning for Databases
- ISTR: End-to-End Instance Segmentation with Transformers
- EQFace: A Simple Explicit Quality Network for Face Recognition
- Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack
- Physical world assistive signals for deep neural network classifiers -- neither defense nor attack
- COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 Prediction
- OpTorch: Optimized deep learning architectures for resource limited environments
- Consistency and Monotonicity Regularization for Neural Knowledge Tracing
- OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning
- An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks
- Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation
- Semi-supervised learning for generalizable intracranial hemorrhage detection and segmentation
- Robust Sample Weighting to Facilitate Individualized Treatment Rule Learning for a Target Population