Papers
Tue 7 Sep 2021
147 papers
- Knowledge Distillation Using Hierarchical Self-Supervision Augmented DistributionKnowledge distillation → General knowledge distillation methods
- Trojan Signatures in DNN WeightsLLM safety and security → Backdoor and data poisoning attacks
- An N-gram based approach to auto-extracting topics from research articles
- Memory-Based Semantic Parsing
- Attention based Sequence to Sequence Learning for Machine Translation of Low Resourced Indic Languages -- A case of Sanskrit to Hindi
- A Biologically Plausible Learning Rule for Perceptual Systems of organisms that Maximize Mutual Information
- Predicting students' performance in online courses using multiple data sources
- Generatively Augmented Neural Network Watchdog for Image Classification Networks
- Optimal Reservoir Operations using Long Short-Term Memory Network
- Sensitive Samples Revisited: Detecting Neural Network Attacks Using Constraint Solvers
- Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction
- Tom: Leveraging trend of the observed gradients for faster convergence
- Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer
- Online Learning for Cooperative Multi-Player Multi-Armed Bandits
- Conjectures, Tests and Proofs: An Overview of Theory Exploration
- Identifying Influential Nodes in Two-mode Data Networks using Formal Concept Analysis
- Forward and Inverse models in HCI:Physical simulation and deep learning for inferring 3D finger pose
- On the space of coefficients of a Feed Forward Neural Network
- Capturing the objects of vision with neural networks
- Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling
- Certifiably Optimal Outlier-Robust Geometric Perception: Semidefinite Relaxations and Scalable Global Optimization
- Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation
- C-MinHash: Rigorously Reducing K Permutations to Two
- Multi-Branch Deep Radial Basis Function Networks for Facial Emotion Recognition
- On the Challenges of Evaluating Compositional Explanations in Multi-Hop Inference: Relevance, Completeness, and Expert Ratings
- CyGIL: A Cyber Gym for Training Autonomous Agents over Emulated Network Systems
- Effective and interpretable dispatching rules for dynamic job shops via guided empirical learning
- Corpus-based Open-Domain Event Type Induction
- Melatect: A Machine Learning Model Approach For Identifying Malignant Melanoma in Skin Growths
- CRNNTL: convolutional recurrent neural network and transfer learning for QSAR modelling
- Hi, my name is Martha: Using names to measure and mitigate bias in generative dialogue models
- Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology
- Simple Video Generation using Neural ODEs
- Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud
- Have a break from making decisions, have a MARS: The Multi-valued Action Reasoning System
- Text-Free Prosody-Aware Generative Spoken Language Modeling
- MRI Reconstruction Using Deep Energy-Based Model
- Self-supervised Tumor Segmentation through Layer Decomposition
- Rethinking Common Assumptions to Mitigate Racial Bias in Face Recognition Datasets
- Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression
- Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos
- Joint model for intent and entity recognition
- Revisiting Recursive Least Squares for Training Deep Neural Networks
- Learning Fast Sample Re-weighting Without Reward Data
- Robust Predictable Control
- COCO Denoiser: Using Co-Coercivity for Variance Reduction in Stochastic Convex Optimization
- Adaptive variational Bayes: Optimality, computation and applications
- On the impact of MDP design for Reinforcement Learning agents in Resource Management
- nnFormer: Interleaved Transformer for Volumetric Segmentation
- ExCode-Mixed: Explainable Approaches towards Sentiment Analysis on Code-Mixed Data using BERT models
- Unsupervised Conversation Disentanglement through Co-Training
- On the Convergence of Decentralized Adaptive Gradient Methods
- Optimizing Quantum Variational Circuits with Deep Reinforcement Learning
- IEEE BigData 2021 Cup: Soft Sensing at Scale
- When differential privacy meets NLP: The devil is in the detail
- Learning to Bid in Contextual First Price Auctions
- Aspect-Controllable Opinion Summarization
- Aspartix-V21
- The pyglaf argumentation reasoner (ICCMA2021)
- How much pretraining data do language models need to learn syntax?
- Analysis of Regularized Learning in Banach Spaces for Linear-functional Data
- Idiosyncratic but not Arbitrary: Learning Idiolects in Online Registers Reveals Distinctive yet Consistent Individual Styles
- Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual Categorization
- PAUSE: Positive and Annealed Unlabeled Sentence Embedding
- PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR System
- Smart Traffic Monitoring System using Computer Vision and Edge Computing
- NumGPT: Improving Numeracy Ability of Generative Pre-trained Models
- Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings
- GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition
- Infusing Future Information into Monotonic Attention Through Language Models
- Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional Connectivity
- Fudge: A light-weight solver for abstract argumentation based on SAT reductions
- Optimizing model-agnostic Random Subspace ensembles
- FHAC at GermEval 2021: Identifying German toxic, engaging, and fact-claiming comments with ensemble learning
- OdoNet: Untethered Speed Aiding for Vehicle Navigation Without Hardware Wheeled Odometer
- Distributed Allocation and Scheduling of Tasks with Cross-Schedule Dependencies for Heterogeneous Multi-Robot Teams
- Learning grounded word meaning representations on similarity graphs
- Perceptual Learned Video Compression with Recurrent Conditional GAN
- Support Vector Machine for Handwritten Character Recognition
- GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation
- Sequential Diagnosis Prediction with Transformer and Ontological Representation
- Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning
- POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling
- Generate & Rank: A Multi-task Framework for Math Word Problems
- Predicting Mood Disorder Symptoms with Remotely Collected Videos Using an Interpretable Multimodal Dynamic Attention Fusion Network
- LEAF: Navigating Concept Drift in Cellular Networks
- Sequential Attention Module for Natural Language Processing
- Semiparametric Bayesian Networks
- Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledge
- Revisiting Context Choices for Context-aware Machine Translation
- Evaluation of an Audio-Video Multimodal Deepfake Dataset using Unimodal and Multimodal Detectors
- Grassmannian Graph-attentional Landmark Selection for Domain Adaptation
- Instance-dependent Label-noise Learning under a Structural Causal Model
- BERT based classification system for detecting rumours on Twitter
- FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting
- Unpaired Deep Image Deraining Using Dual Contrastive Learning
- Don't Go Far Off: An Empirical Study on Neural Poetry Translation
- Efficient ADMM-based Algorithms for Convolutional Sparse Coding
- FH-SWF SG at GermEval 2021: Using Transformer-Based Language Models to Identify Toxic, Engaging, & Fact-Claiming Comments
- CovarianceNet: Conditional Generative Model for Correct Covariance Prediction in Human Motion Prediction
All 147
- Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety
- Sensor-Augmented Egocentric-Video Captioning with Dynamic Modal Attention
- Combining data assimilation and machine learning to estimate parameters of a convective-scale model
- Paraphrase Generation as Unsupervised Machine Translation
- Dutch Comfort: The limits of AI governance through municipal registers
- Countering Online Hate Speech: An NLP Perspective
- Naturalness Evaluation of Natural Language Generation in Task-oriented Dialogues using BERT
- Data Driven Content Creation using Statistical and Natural Language Processing Techniques for Financial Domain
- Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
- Brand Label Albedo Extraction of eCommerce Products using Generative Adversarial Network
- Learning to Combine the Modalities of Language and Video for Temporal Moment Localization
- FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation
- Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene
- Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network with Adaptive Sample Pair Formation
- Scale-invariant representation of machine learning
- BioNetExplorer: Architecture-Space Exploration of Bio-Signal Processing Deep Neural Networks for Wearables
- Exploiting Reasoning Chains for Multi-hop Science Question Answering
- IndicBART: A Pre-trained Model for Indic Natural Language Generation
- Blockchains through ontologies: the case study of the Ethereum ERC721 standard in OASIS (Extended Version)
- Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach
- Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access
- Adversarial Parameter Defense by Multi-Step Risk Minimization
- Integrating Regular Expressions with Neural Networks via DFA
- DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning
- HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning
- Readying Medical Students for Medical AI: The Need to Embed AI Ethics Education
- Journalistic Guidelines Aware News Image Captioning
- Refinement of Hottopixx Method for Nonnegative Matrix Factorization Under Noisy Separability
- Quantum-Classical Hybrid Machine Learning for Image Classification (ICCAD Special Session Paper)
- Hierarchical Graph Convolutional Skeleton Transformer for Action Recognition
- Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation
- Datasets: A Community Library for Natural Language Processing
- A new neighborhood structure for job shop scheduling problems
- CIM: Class-Irrelevant Mapping for Few-Shot Classification
- Self-adaptive deep neural network: Numerical approximation to functions and PDEs
- Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models
- Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks
- Learning Visual-Audio Representations for Voice-Controlled Robots
- Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis
- Kinship Verification Based on Cross-Generation Feature Interaction Learning
- A Scalable AI Approach for Clinical Trial Cohort Optimization
- Symbolic Computation in Software Science: My Personal View
- Deep Collaborative Multi-Modal Learning for Unsupervised Kinship Estimation
- ArGoT: A Glossary of Terms extracted from the arXiv
- Puzzle Solving without Search or Human Knowledge: An Unnatural Language Approach
- Safety-Critical Learning of Robot Control with Temporal Logic Specifications
- Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval