Papers
Wed 12 May 2021
160 papers
- MATE-KD: Masked Adversarial TExt, a Companion to Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
- Interpretable performance analysis towards offline reinforcement learning: A dataset perspectiveOffline RL and imitation learning from data → Offline RL algorithms
- Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference PerspectiveLLM safety and security → Membership inference attacks
- Some Pragmatic Prevention's Guidelines regarding SARS-CoV-2 and COVID-19 in Latin-America inspired by mixed Machine Learning Techniques and Artificial Mathematical Intelligence. Case Study: Colombia
- Ensemble Making Few-Shot Learning Stronger
- Joint Face Image Restoration and Frontalization for Recognition
- High-Performance FPGA-based Accelerator for Bayesian Neural Networks
- A deep learning approach for inverse design of the metasurface for dual-polarized waves
- MMGET: A Markov model for generalized evidence theory
- Conscious AI
- Waste detection in Pomerania: non-profit project for detecting waste in environment
- Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example
- TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables
- Frequent Pattern Mining in Continuous-time Temporal Networks
- Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches
- A one-armed CNN for exoplanet detection from light curves
- A Scalable Algorithm for Anomaly Detection via Learning-Based Controlled Sensing
- Anomaly Detection via Controlled Sensing and Deep Active Inference
- Lightweight compression of neural network feature tensors for collaborative intelligence
- Sufficient reasons for classifier decisions in the presence of constraints
- Designing Multimodal Datasets for NLP Challenges
- Multilingual Offensive Language Identification for Low-resource Languages
- Neural Trajectory Fields for Dynamic Novel View Synthesis
- Improving Code Autocompletion with Transfer Learning
- Optimal transport with some directed distances
- An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet
- An Open-Source Tool for Classification Models in Resource-Constrained Hardware
- DONet: Dual-Octave Network for Fast MR Image Reconstruction
- Spelling Correction with Denoising Transformer
- Analysing The Impact Of Linguistic Features On Cross-Lingual Transfer
- Removing Blocking Artifacts in Video Streams Using Event Cameras
- Connecting What to Say With Where to Look by Modeling Human Attention Traces
- Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution
- Efficient Algorithms for Estimating the Parameters of Mixed Linear Regression Models
- A new perspective on low-rank optimization
- Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay
- Semantic Diversity Learning for Zero-Shot Multi-label Classification
- Attention-based Neural Beamforming Layers for Multi-channel Speech Recognition
- Dynamical Isometry: The Missing Ingredient for Neural Network Pruning
- Better than BERT but Worse than Baseline
- Go Beyond Plain Fine-tuning: Improving Pretrained Models for Social Commonsense
- The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
- What's wrong with this video? Comparing Explainers for Deepfake Detection
- Latent Event-Predictive Encodings through Counterfactual Regularization
- A function approximation approach to the prediction of blood glucose levels
- Unsupervised Acute Intracranial Hemorrhage Segmentation with Mixture Models
- Black or White but never neutral: How readers perceive identity from yellow or skin-toned emoji
- Playing Codenames with Language Graphs and Word Embeddings
- Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
- A Graph Neural Network Approach for Product Relationship Prediction
- The Federated Tumor Segmentation (FeTS) Challenge
- Out of the Box: Embodied Navigation in the Real World
- Learning to Generate Novel Scene Compositions from Single Images and Videos
- Kernel Thinning
- Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning
- When Does Contrastive Visual Representation Learning Work?
- 20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction
- Deep Snapshot HDR Reconstruction Based on the Polarization Camera
- SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning
- Adversarial Reinforcement Learning in Dynamic Channel Access and Power Control
- High-Dimensional Experimental Design and Kernel Bandits
- Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts
- Is Gender "In-the-Wild" Inference Really a Solved Problem?
- Global Structure-Aware Drum Transcription Based on Self-Attention Mechanisms
- The Greedy and Recursive Search for Morphological Productivity
- Probabilistic Loss and its Online Characterization for Simplified Decision Making Under Uncertainty
- A Fast Deep Learning Network for Automatic Image Auto-Straightening
- How to Design Robust Algorithms using Noisy Comparison Oracle
- The Semantic Brand Score
- Forecasting election results by studying brand importance in online news
- Exploring the Similarity of Representations in Model-Agnostic Meta-Learning
- Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders
- Conversational Negation using Worldly Context in Compositional Distributional Semantics
- Building a Question and Answer System for News Domain
- Encoding Explanatory Knowledge for Zero-shot Science Question Answering
- Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces
- Autoencoding Under Normalization Constraints
- The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond
- Thematic recommendations on knowledge graphs using multilayer networks
- Early prediction of respiratory failure in the intensive care unit
- BertGCN: Transductive Text Classification by Combining GCN and BERT
- Causal Networks and Freedom of Choice in Bell's Theorem
- Breaking the Computation and Communication Abstraction Barrier in Distributed Machine Learning Workloads
- An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization
- Acting upon Imagination: when to trust imagined trajectories in model based reinforcement learning
- Representation in Dynamical Systems
- Directional GAN: A Novel Conditioning Strategy for Generative Networks
- Deep and Shallow Covariance Feature Quantization for 3D Facial Expression Recognition
- Automating Data Science: Prospects and Challenges
- Machine learning moment closure models for the radiative transfer equation I: directly learning a gradient based closure
- Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
- Automatic Classification of Games using Support Vector Machine
- Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks
- Look-Ahead Screening Rules for the Lasso
- PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning
- How Reliable are Model Diagnostics?
- FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution
- FlipReID: Closing the Gap between Training and Inference in Person Re-Identification
- VL-NMS: Breaking Proposal Bottlenecks in Two-Stage Visual-Language Matching
- Segmenter: Transformer for Semantic Segmentation
All 160
- Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of Spectral Descriptors and Manifold Regularization
- On risk-based active learning for structural health monitoring
- NLP for Climate Policy: Creating a Knowledge Platform for Holistic and Effective Climate Action
- Priberam at MESINESP Multi-label Classification of Medical Texts Task
- Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization
- Deep Spiking Convolutional Neural Network for Single Object Localization Based On Deep Continuous Local Learning
- Priberam Labs at the NTCIR-15 SHINRA2020-ML: Classification Task
- OutFlip: Generating Out-of-Domain Samples for Unknown Intent Detection with Natural Language Attack
- ROSEFusion: Random Optimization for Online Dense Reconstruction under Fast Camera Motion
- StutterNet: Stuttering Detection Using Time Delay Neural Network
- Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding
- Image interpretation by iterative bottom-up top-down processing
- An Appraisal Transition System for Event-driven Emotions in Agent-based Player Experience Testing
- Discrete representations in neural models of spoken language
- "Alexa, what do you do for fun?" Characterizing playful requests with virtual assistants
- Structural risk minimization for quantum linear classifiers
- A Survey on Reinforcement Learning-Aided Caching in Mobile Edge Networks
- Looking at CTR Prediction Again: Is Attention All You Need?
- Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes
- AVA: Adversarial Vignetting Attack against Visual Recognition
- Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning
- Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time
- Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks
- !Qu'e maravilla! Multimodal Sarcasm Detection in Spanish: a Dataset and a Baseline
- Evaluating Gender Bias in Natural Language Inference
- Cyclically Equivariant Neural Decoders for Cyclic Codes
- A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection area
- Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
- OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction
- Winograd Algorithm for AdderNet
- WildGait: Learning Gait Representations from Raw Surveillance Streams
- SauvolaNet: Learning Adaptive Sauvola Network for Degraded Document Binarization
- Object-Based Augmentation Improves Quality of Remote Sensing Semantic Segmentation
- Operation-wise Attention Network for Tampering Localization Fusion
- An Empirical Experiment on Deep Learning Models for Predicting Traffic Data
- Probabilistic modeling of rational communication with conditionals
- Label Geometry Aware Discriminator for Conditional Generative Networks
- Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction
- CT-Net: Complementary Transfering Network for Garment Transfer with Arbitrary Geometric Changes
- A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels
- LipBaB: Computing exact Lipschitz constant of ReLU networks
- Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference
- TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text
- On the reproducibility of fully convolutional neural networks for modeling time-space evolving physical systems
- Distributionally Robust Graph Learning from Smooth Signals under Moment Uncertainty
- Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Tasks
- MT: Multi-Perspective Feature Learning Network for Scene Text Detection
- An efficient projection neural network for ℓ1-regularized logistic regression
- UIUC_BioNLP at SemEval-2021 Task 11: A Cascade of Neural Models for Structuring Scholarly NLP Contributions
- Discrete-time Contraction-based Control of Nonlinear Systems with Parametric Uncertainties using Neural Networks
- Transitioning to human interaction with AI systems: New challenges and opportunities for HCI professionals to enable human-centered AI
- Could you give me a hint? Generating inference graphs for defeasible reasoning
- A Large-Scale Benchmark for Food Image Segmentation
- Structure Guided Lane Detection
- Homogeneous vector bundles and G-equivariant convolutional neural networks
- Bayesian Model Averaging for Data Driven Decision Making when Causality is Partially Known
- What's The Latest? A Question-driven News Chatbot
- News Headline Grouping as a Challenging NLU Task
- Current State and Future Directions for Learning in Biological Recurrent Neural Networks: A Perspective Piece
- Estimation of population size based on capture recapture designs and evaluation of the estimation reliability