Papers
Thu 10 Jun 2021
212 papers
- Scaling Vision with Sparse Mixture of ExpertsMixture-of-experts → Vision mixture-of-experts
- Learning by WatchingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Does Knowledge Distillation Really Work?Knowledge distillation → General knowledge distillation methods
- Score-based Generative Modeling in Latent SpaceDiffusion models → Diffusion foundations and sampling
- Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
- Differentiable Robust LQR LayersOffline RL and imitation learning from data → Offline RL algorithms
- Adversarial Option-Aware Hierarchical Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score EstimationDiffusion models → Diffusion foundations and sampling
- AMU-EURANOVA at CASE 2021 Task 1: Assessing the stability of multilingual BERT
- Artifact Detection and Correction in EEG data: A Review
- InFlow: Robust outlier detection utilizing Normalizing Flows
- Hard Choices in Artificial Intelligence
- Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks
- Learning effective stochastic differential equations from microscopic simulations: linking stochastic numerics to deep learning
- Estimating the Robustness of Public Transport Systems Using Machine Learning
- A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip
- Graph Contrastive Learning Automated
- An SMT Based Compositional Algorithm to Solve a Conflict-Free Electric Vehicle Routing Problem
- SemEval-2021 Task 11: NLPContributionGraph -- Structuring Scholarly NLP Contributions for a Research Knowledge Graph
- MoParkeR : Multi-objective Parking Recommendation
- A Semi-supervised Multi-task Learning Approach to Classify Customer Contact Intents
- Unsupervised Neural Hidden Markov Models with a Continuous latent state space
- View Generalization for Single Image Textured 3D Models
- Graph Neural Networks for Natural Language Processing: A Survey
- Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix
- Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models
- Problem-solving benefits of down-sampled lexicase selection
- One Sense per Translation
- Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent
- A Nonmyopic Approach to Cost-Constrained Bayesian Optimization
- A Decentralized Adaptive Momentum Method for Solving a Class of Min-Max Optimization Problems
- A modular framework for object-based saccadic decisions in dynamic scenes
- Gaussian Bounding Boxes and Probabilistic Intersection-over-Union for Object Detection
- Bayesian Optimisation with Formal Guarantees
- RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
- Data-driven battery operation for energy arbitrage using rainbow deep reinforcement learning
- AI-driven Prices for Externalities and Sustainability in Production Markets
- Predicting Next Local Appearance for Video Anomaly Detection
- Domain Transformer: Predicting Samples of Unseen, Future Domains
- Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation
- Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning
- Convergence and Alignment of Gradient Descent with Random Backpropagation Weights
- Neural Predicting Higher-order Patterns in Temporal Networks
- Modeling Hierarchical Structures with Continuous Recursive Neural Networks
- Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties
- Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm
- Coordinate Independent Convolutional Networks -- Isometry and Gauge Equivariant Convolutions on Riemannian Manifolds
- Cross-lingual Emotion Detection
- Learning distinct features helps, provably
- A self-adapting super-resolution structures framework for automatic design of GAN
- Machine Learning Framework for Sensing and Modeling Interference in IoT Frequency Bands
- Synthesising Reinforcement Learning Policies through Set-Valued Inductive Rule Learning
- Overcoming Difficulty in Obtaining Dark-skinned Subjects for Remote-PPG by Synthetic Augmentation
- CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Mixing
- Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments
- Verifying Quantized Neural Networks using SMT-Based Model Checking
- An Ensemble Approach Towards Adversarial Robustness
- Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition
- ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation
- Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation
- Space-time Mixing Attention for Video Transformer
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
- Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold
- Fair Classification with Adversarial Perturbations
- Learning to See by Looking at Noise
- What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
- Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features
- High Probability Complexity Bounds for Non-Smooth Stochastic Optimization with Heavy-Tailed Noise
- Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning
- Adversarial Motion Modelling helps Semi-supervised Hand Pose Estimation
- PeCLR: Self-Supervised 3D Hand Pose Estimation from monocular RGB via Equivariant Contrastive Learning
- Support Recovery of Sparse Signals from a Mixture of Linear Measurements
- Curiously Effective Features for Image Quality Prediction
- Fair Normalizing Flows
- Flow-based sampling for fermionic lattice field theories
- PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
- Early-stopped neural networks are consistent
- FetReg: Placental Vessel Segmentation and Registration in Fetoscopy Challenge Dataset
- Implicit Feature Alignment: Learn to Convert Text Recognizer to Text Spotter
- Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification in Chest X-rays
- DAIR: Disentangled Attention Intrinsic Regularization for Safe and Efficient Bimanual Manipulation
- Multiple Dynamic Pricing for Demand Response with Adaptive Clustering-based Customer Segmentation in Smart Grids
- Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate
- Unsupervised Co-part Segmentation through Assembly
- Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation
- Temporal and Object Quantification Networks
- Group Equivariant Subsampling
- Balanced End-to-End Monolingual pre-training for Low-Resourced Indic Languages Code-Switching Speech Recognition
- Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images
- A Template-guided Hybrid Pointer Network for Knowledge-basedTask-oriented Dialogue Systems
- Neural Text Classification and Stacked Heterogeneous Embeddings for Named Entity Recognition in SMM4H 2021
- GroupBERT: Enhanced Transformer Architecture with Efficient Grouped Structures
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning
- A concise method for feature selection via normalized frequencies
- On the overlooked issue of defining explanation objectives for local-surrogate explainers
- Simple Graph Convolutional Networks
- Quantum Speedup of Natural Gradient for Variational Bayes
- Metric Policy Representations for Opponent Modeling
- Linear Classifiers Under Infinite Imbalance
- Transformed CNNs: recasting pre-trained convolutional layers with self-attention
All 212
- CAT: Cross Attention in Vision Transformer
- Programming Puzzles
- Deep Implicit Surface Point Prediction Networks
- Linguistically Informed Masking for Representation Learning in the Patent Domain
- Meta-Learning for Symbolic Hyperparameter Defaults
- Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
- A Deep Variational Approach to Clustering Survival Data
- Improving multi-speaker TTS prosody variance with a residual encoder and normalizing flows
- Parallel Deep Learning-Driven Sarcasm Detection from Pop Culture Text and English Humor Literature
- Multi-resolution Outlier Pooling for Sorghum Classification
- The 2021 Hotel-ID to Combat Human Trafficking Competition Dataset
- Pivotal Tuning for Latent-based Editing of Real Images
- End-to-end lung nodule detection framework with model-based feature projection block
- Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics
- GBHT: Gradient Boosting Histogram Transform for Density Estimation
- dFDA-VeD: A Dynamic Future Demand Aware Vehicle Dispatching System
- The Medical Segmentation Decathlon
- Leveraged Weighted Loss for Partial Label Learning
- Face mask detection using convolution neural network
- Cooperative Multi-Agent Fairness and Equivariant Policies
- Distributionally Robust Prescriptive Analytics with Wasserstein Distance
- Automatic Construction of Context-Aware Sentiment Lexicon in the Financial Domain Using Direction-Dependent Words
- Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models
- DNN-Based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel
- FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information
- Learnable Hypergraph Laplacian for Hypergraph Learning
- AI-enabled Automation for Completeness Checking of Privacy Policies
- Spatiotemporal Pattern Recognition in Single Mixed-Signal VLSI Neurons with Heterogeneous Dynamic Synapses
- DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning
- A Dataset And Benchmark Of Underwater Object Detection For Robot Picking
- A multi-objective perspective on jointly tuning hardware and hyperparameters
- DT-grams: Structured Dependency Grammar Stylometry for Cross-Language Authorship Attribution
- GraphiT: Encoding Graph Structure in Transformers
- Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception
- Ruddit: Norms of Offensiveness for English Reddit Comments
- To The Point: Correspondence-driven monocular 3D category reconstruction
- Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft
- Conditional COT-GAN for Video Prediction with Kernel Smoothing
- Deep neural network loses attention to adversarial images
- MST: Masked Self-Supervised Transformer for Visual Representation
- Visual scoping operations for physical assembly
- Unsupervised Behaviour Discovery with Quality-Diversity Optimisation
- U2++: Unified Two-pass Bidirectional End-to-end Model for Speech Recognition
- Exploring Unsupervised Pretraining Objectives for Machine Translation
- MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training
- Towards an Automated Pipeline for Detecting and Classifying Malware through Machine Learning
- Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach
- SVMAC: Unsupervised 3D Human Pose Estimation from a Single Image with Single-view-multi-angle Consistency
- Context-Free TextSpotter for Real-Time and Mobile End-to-End Text Detection and Recognition
- Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time
- GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
- Thompson Sampling with a Mixture Prior
- Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene Decomposition
- VT-SSum: A Benchmark Dataset for Video Transcript Segmentation and Summarization
- MiDeCon: Unsupervised and Accurate Fingerprint and Minutia Quality Assessment based on Minutia Detection Confidence
- Supervising the Transfer of Reasoning Patterns in VQA
- Multi-Dataset Benchmarks for Masked Identification using Contrastive Representation Learning
- AUGNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation
- A Discontinuity Capturing Shallow Neural Network for Elliptic Interface Problems
- Data augmentation in Bayesian neural networks and the cold posterior effect
- Learning Nonparametric Volterra Kernels with Gaussian Processes
- AGGGEN: Ordering and Aggregating while Generating
- Front Contribution instead of Back Propagation
- A Neural Tangent Kernel Perspective of GANs
- Identifiability of interaction kernels in mean-field equations of interacting particles
- Shades of BLEU, Flavours of Success: The Case of MultiWOZ
- Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement
- Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis
- Progressive Multi-Granularity Training for Non-Autoregressive Translation
- Super-Resolution Image Reconstruction Based on Self-Calibrated Convolutional GAN
- CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signals
- DUET: Detection Utilizing Enhancement for Text in Scanned or Captured Documents
- An Interpretable Neural Network for Parameter Inference
- How Robust are Model Rankings: A Leaderboard Customization Approach for Equitable Evaluation
- CALTeC: Content-Adaptive Linear Tensor Completion for Collaborative Intelligence
- Cross-domain Contrastive Learning for Unsupervised Domain Adaptation
- Simplifying Deep Reinforcement Learning via Self-Supervision
- 3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training
- A Mathematical Foundation for Robust Machine Learning based on Bias-Variance Trade-off
- Swarm Intelligence for Self-Organized Clustering
- Consistent Instance False Positive Improves Fairness in Face Recognition
- Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification
- Understanding the Under-Coverage Bias in Uncertainty Estimation
- Vertical Federated Learning without Revealing Intersection Membership
- Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and Successes in the XAI Program
- Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models
- AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection
- Hyperspace Neighbor Penetration Approach to Dynamic Programming for Model-Based Reinforcement Learning Problems with Slowly Changing Variables in A Continuous State Space
- Distance Metric Learning through Minimization of the Free Energy
- Learning to Play General-Sum Games Against Multiple Boundedly Rational Agents
- SignalNet: A Low Resolution Sinusoid Decomposition and Estimation Network
- RLCorrector: Reinforced Proofreading for Cell-level Microscopy Image Segmentation
- A Unified Framework for Task-Driven Data Quality Management
- Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions
- Semantic-aware Binary Code Representation with BERT
- Learning Based Proximity Matrix Factorization for Node Embedding
- A Central Limit Theorem, Loss Aversion and Multi-Armed Bandits
- Automated Self-Supervised Learning for Graphs
- Variational Information Bottleneck for Effective Low-Resource Fine-Tuning
- Multi-VFL: A Vertical Federated Learning System for Multiple Data and Label Owners
- Adaptive machine learning for protein engineering
- Mode recovery in neural autoregressive sequence modeling
- Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip
- AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange
- Improving White-box Robustness of Pre-processing Defenses via Joint Adversarial Training
- Input Augmentation Improves Constrained Beam Search for Neural Machine Translation: NTT at WAT 2021
- Investigating Alternatives to the Root Mean Square for Adaptive Gradient Methods
- Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach
- Unsupervised Video Person Re-identification via Noise and Hard frame Aware Clustering
- Cross-Modal Discrete Representation Learning
- Data augmentation to improve robustness of image captioning solutions
- An adaptive Origin-Destination flows cluster-detecting method to identify urban mobility trends