Papers
Mon 14 Jun 2021
204 papers
- Poisoning Deep Reinforcement Learning Agents with In-Distribution TriggersLLM safety and security → Backdoor and data poisoning attacks
- CoDERT: Distilling Encoder Representations with Co-learning for Transducer-based Speech RecognitionKnowledge distillation → Speech and audio distillation
- Non Gaussian Denoising Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound SynthesisDiffusion models → Audio, speech and music
- Energy-efficient Knowledge Distillation for Spiking Neural NetworksKnowledge distillation → Distillation for spiking neural networks
- Analysing Affective Behavior in the second ABAW2 Competition
- Toward a Knowledge Discovery Framework for Data Science Job Market in the United States
- A learned conditional prior for the VAE acoustic space of a TTS system
- Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit
- Exploring deterministic frequency deviations with explainable AI
- Conference proceedings KI4Industry AI for SMEs -- The online congress for practical entry into AI for SMEs
- Random feature neural networks learn Black-Scholes type PDEs without curse of dimensionality
- Bandit Modeling of Map Selection in Counter-Strike: Global Offensive
- WaveNet-Based Deep Neural Networks for the Characterization of Anomalous Diffusion (WADNet)
- Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology
- EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification
- Weakly-Supervised Photo-realistic Texture Generation for 3D Face Reconstruction
- Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
- Highdicom: A Python library for standardized encoding of image annotations and machine learning model outputs in pathology and radiology
- Controlling Neural Networks with Rule Representations
- SynthASR: Unlocking Synthetic Data for Speech Recognition
- Launching into clinical space with medspaCy: a new clinical text processing toolkit in Python
- Assessing the Use of Prosody in Constituency Parsing of Imperfect Transcripts
- DFM: A Performance Baseline for Deep Feature Matching
- Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities
- KL Guided Domain Adaptation
- Boosting in the Presence of Massart Noise
- Flow Guided Transformable Bottleneck Networks for Motion Retargeting
- Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection
- The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization
- How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications
- Linear-Time Probabilistic Solutions of Boundary Value Problems
- RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
- Kaizen: Continuously improving teacher using Exponential Moving Average for semi-supervised speech recognition
- Pitfalls of Explainable ML: An Industry Perspective
- Counterfactual Explanations for Machine Learning: Challenges Revisited
- Counterfactual Explanations as Interventions in Latent Space
- Optimization-friendly generic mechanisms without money
- Can BERT Dig It? -- Named Entity Recognition for Information Retrieval in the Archaeology Domain
- Unique sparse decomposition of low rank matrices
- Learning Audio-Visual Dereverberation
- Targeted Data Acquisition for Evolving Negotiation Agents
- An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks
- Incorporating Domain Knowledge into Health Recommender Systems using Hyperbolic Embeddings
- HUMAP: Hierarchical Uniform Manifold Approximation and Projection
- Robust Inference for High-Dimensional Linear Models via Residual Randomization
- Overcoming Domain Mismatch in Low Resource Sequence-to-Sequence ASR Models using Hybrid Generated Pseudotranscripts
- Learning Deep Morphological Networks with Neural Architecture Search
- CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks
- Efficient (Soft) Q-Learning for Text Generation with Limited Good Data
- Using heterogeneity in semi-supervised transcription hypotheses to improve code-switched speech recognition
- Face Age Progression With Attribute Manipulation
- Improving Paraphrase Detection with the Adversarial Paraphrasing Task
- Phase Transitions, Distance Functions, and Implicit Neural Representations
- Next Generation Reservoir Computing
- Extracting Global Dynamics of Loss Landscape in Deep Learning Models
- Revisiting Model Stitching to Compare Neural Representations
- Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting
- Unsupervised Learning of Visual 3D Keypoints for Control
- Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
- Variational Causal Networks: Approximate Bayesian Inference over Causal Structures
- Improved Transformer for High-Resolution GANs
- Hierarchically Regularized Deep Forecasting
- Toward Automatic Interpretation of 3D Plots
- Delving Deep into the Generalization of Vision Transformers under Distribution Shifts
- Magic Layouts: Structural Prior for Component Detection in User Interface Designs
- Improving Metric Dimensionality Reduction with Distributed Topology
- Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization
- Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans
- MLPerf Tiny Benchmark
- No more glowing in the dark: How deep learning improves exposure date estimation in thermoluminescence dosimetry
- Biomedical Entity Linking with Contrastive Context Matching
- Dynamic Gradient Aggregation for Federated Domain Adaptation
- Full interpretable machine learning in 2D with inline coordinates
- A Framework to Counteract Suboptimal User-Behaviors in Exploratory Learning Environments: an Application to MOOCs
- Named Entity Normalization Model Using Edge Weight Updating Neural Network: Assimilation Between Knowledge-Driven Graph and Data-Driven Graph
- A scalable multi-step least squares method for network identification with unknown disturbance topology
- PolarStream: Streaming Lidar Object Detection and Segmentation with Polar Pillars
- Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China
- Evaluating Various Tokenizers for Arabic Text Classification
- On the Representation of Solutions to Elliptic PDEs in Barron Spaces
- A Wasserstein Minimax Framework for Mixed Linear Regression
- Predicting 3D RNA Folding Patterns via Quadratic Binary Optimization
- MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis
- Last Layer Marginal Likelihood for Invariance Learning
- Modeling Profanity and Hate Speech in Social Media with Semantic Subspaces
- Characterizing the risk of fairwashing
- Training like Playing: A Reinforcement Learning And Knowledge Graph-based framework for building Automatic Consultation System in Medical Field
- Balanced Coarsening for Multilevel Hypergraph Partitioning via Wasserstein Discrepancy
- An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
- Machine Learning Implicit Solvation for Molecular Dynamics
- User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning
- pix2rule: End-to-end Neuro-symbolic Rule Learning
- Grammar Equations
- Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI
- Graph Domain Adaptation: A Generative View
- S2-MLP: Spatial-Shift MLP Architecture for Vision
- Training Graph Neural Networks with 1000 Layers
- Discovering Interpretable Machine Learning Models in Parallel Coordinates
- Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation
All 204
- Signal processing on simplicial complexes
- Comparing vector fields across surfaces: interest for characterizing the orientations of cortical folds
- Improving Bridge estimators via f-GAN
- NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning
- Efficient Data-specific Model Search for Collaborative Filtering
- Marginalising over Stationary Kernels with Bayesian Quadrature
- Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions
- A Novel mapping for visual to auditory sensory substitution
- HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
- PopSkipJump: Decision-Based Attack for Probabilistic Classifiers
- Automatically eliminating seam lines with Poisson editing in complex relative radiometric normalization mosaicking scenarios
- Audio Attacks and Defenses against AED Systems -- A Practical Study
- Partial success in closing the gap between human and machine vision
- Model Explainability in Deep Learning Based Natural Language Processing
- 3rd Place Solution for Short-video Face Parsing Challenge
- Determinantal Beam Search
- Dilated filters for edge detection algorithms
- A Self-Supervised Framework for Function Learning and Extrapolation
- Quality-Aware Network for Face Parsing
- Predicting the imagined contents using brain activation
- Deep Transfer Learning for Brain Magnetic Resonance Image Multi-class Classification
- On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
- Variational Quanvolutional Neural Networks with enhanced image encoding
- Coresets for constrained k-median and k-means clustering in low dimensional Euclidean space
- Automated Machine Learning Techniques for Data Streams
- Computer Vision Tool for Detection, Mapping and Fault Classification of PV Modules in Aerial IR Videos
- Pixel Sampling for Style Preserving Face Pose Editing
- A Recipe for Social Media Analysis
- Constraining Linear-chain CRFs to Regular Languages
- iNNformant: Boundary Samples as Telltale Watermarks
- Quantum diffusion map for nonlinear dimensionality reduction
- Node Classification Meets Link Prediction on Knowledge Graphs
- RRULES: An improvement of the RULES rule-based classifier
- Decentralized Personalized Federated Learning for Min-Max Problems
- Learning-Aided Heuristics Design for Storage System
- Data Science Methodologies: Current Challenges and Future Approaches
- TimeLens: Event-based Video Frame Interpolation
- Probing Pre-Trained Language Models for Disease Knowledge
- Attention-based Domain Adaptation for Single Stage Detectors
- Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
- Cascaded Span Extraction and Response Generation for Document-Grounded Dialog
- Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation
- FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications
- Machine Learning for Variance Reduction in Online Experiments
- RAPTOR: End-to-end Risk-Aware MDP Planning and Policy Learning by Backpropagation
- GitTables: A Large-Scale Corpus of Relational Tables
- Communication is the universal solvent: atreya bot -- an interactive bot for chemical scientists
- Deterministic Guided LiDAR Depth Map Completion
- Federated Myopic Community Detection with One-shot Communication
- Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding
- Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks
- Contemporary Amharic Corpus: Automatically Morpho-Syntactically Tagged Amharic Corpus
- Mitigating Biases in Toxic Language Detection through Invariant Rationalization
- Fair Clustering Under a Bounded Cost
- Is Einstein more agreeable and less neurotic than Hitler? A computational exploration of the emotional and personality profiles of historical persons
- Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network
- Automated Parking Space Detection Using Convolutional Neural Networks
- More Real than Real: A Study on Human Visual Perception of Synthetic Faces
- English to Bangla Machine Translation Using Recurrent Neural Network
- SGE net: Video object detection with squeezed GRU and information entropy map
- Outlier detection in multivariate functional data through a contaminated mixture model
- Certification of embedded systems based on Machine Learning: A survey
- Context-Aware Image Inpainting with Learned Semantic Priors
- Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling
- Influential Rank: A New Perspective of Post-training for Robust Model against Noisy Labels
- Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions
- Differentiable Neural Architecture Search with Morphism-based Transformable Backbone Architectures
- Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation
- Hard Samples Rectification for Unsupervised Cross-domain Person Re-identification
- Online Sub-Sampling for Reinforcement Learning with General Function Approximation
- Optimal transport in multilayer networks for traffic flow optimization
- DAGs with No Curl: An Efficient DAG Structure Learning Approach
- Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization
- Automatic Document Sketching: Generating Drafts from Analogous Texts
- Group-based Bi-Directional Recurrent Wavelet Neural Networks for Video Super-Resolution
- Sejong Face Database: A Multi-Modal Disguise Face Database
- Modeling Object Recognition in Newborn Chicks using Deep Neural Networks
- A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
- SAS: Self-Augmentation Strategy for Language Model Pre-training
- Learning to Combine Per-Example Solutions for Neural Program Synthesis
- A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering
- Examining and Combating Spurious Features under Distribution Shift
- End-to-end Neural Diarization: From Transformer to Conformer
- 2rd Place Solutions in the HC-STVG track of Person in Context Challenge 2021
- Self-training Guided Adversarial Domain Adaptation For Thermal Imagery
- Goal-Aware Neural SAT Solver
- Learning Intrusion Prevention Policies through Optimal Stopping
- Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images
- Temporal Predictive Coding For Model-Based Planning In Latent Space
- CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning
- Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods
- On the Sample Complexity of Learning under Invariance and Geometric Stability
- Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks
- SinIR: Efficient General Image Manipulation with Single Image Reconstruction
- Pre-Trained Models: Past, Present and Future
- Self-Supervised Metric Learning in Multi-View Data: A Downstream Task Perspective
- Why Can You Lay Off Heads? Investigating How BERT Heads Transfer
- Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery
- MTC: Multiresolution Tensor Completion from Partial and Coarse Observations
- Discerning the painter's hand: machine learning on surface topography
- GPT3-to-plan: Extracting plans from text using GPT-3
- Toward Diverse Precondition Generation
- Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective
- Intelligent Agent for Hurricane Emergency Identification and Text Information Extraction from Streaming Social Media Big Data