Papers
Tue 29 Jun 2021
177 papers
- Diffusion Priors In Variational AutoencodersDiffusion models → Diffusion foundations and sampling
- Multi-Exit Vision Transformer for Dynamic InferenceEfficient LLM inference and serving → Early exit and edge inference
- Certifiable Machine Unlearning for Linear ModelsLLM safety and security → Machine unlearning
- Efficient Fourier single-pixel imaging with Gaussian random sampling
- Meaning Versus Information, Prediction Versus Memory, and Question Versus Answer
- OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data
- Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies
- Framework for A Personalized Intelligent Assistant to Elderly People for Activities of Daily Living
- Conditional Teaching Size
- Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance
- Non-Comparative Fairness for Human-Auditing and Its Relation to Traditional Fairness Notions
- Structure-aware reinforcement learning for node-overload protection in mobile edge computing
- SALYPATH: A Deep-Based Architecture for visual attention prediction
- Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations
- Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets
- SinGAN-Seg: Synthetic training data generation for medical image segmentation
- Never Go Full Batch (in Stochastic Convex Optimization)
- Latent Execution for Neural Program Synthesis
- Cascade Decoders-Based Autoencoders for Image Reconstruction
- Background Knowledge in Schema Matching: Strategy vs. Data
- Dual GNNs: Graph Neural Network Learning with Limited Supervision
- Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images
- RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Images
- On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay
- Two-Stage TMLE to Reduce Bias and Improve Efficiency in Cluster Randomized Trials
- Active-set algorithms based statistical inference for shape-restricted generalized additive Cox regression models
- UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach
- Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
- Diff2Dist: Learning Spectrally Distinct Edge Functions, with Applications to Cell Morphology Analysis
- RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks
- Domain adaptation for person re-identification on new unlabeled data using AlignedReID++
- Deep Multiagent Reinforcement Learning: Challenges and Directions
- Attention Aware Wavelet-based Detection of Morphed Face Images
- Tensor decomposition of higher-order correlations by nonlinear Hebbian plasticity
- Alzheimer's Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs
- SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection Problems
- SAT Based Analogy Evaluation Framework for Persian Word Embeddings
- Probabilistic Graphical Models and Tensor Networks: A Hybrid Framework
- Exponential Weights Algorithms for Selective Learning
- Multi-Scale Spectrogram Modelling for Neural Text-to-Speech
- Learning to Map for Active Semantic Goal Navigation
- A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning
- Learning Task Informed Abstractions
- An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild
- An Ambient Intelligence-Based Human Behavior Monitoring Framework for Ubiquitous Environments
- Multimodal Approaches for Indoor Localization for Ambient Assisted Living in Smart Homes
- Framework for an Intelligent Affect Aware Smart Home Environment for Elderly People
- Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography
- Limited depth bandit-based strategy for Monte Carlo planning in continuous action spaces
- The Values Encoded in Machine Learning Research
- Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation
- Continuous Latent Process Flows
- As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning
- A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement
- Near-Optimal Explainable k-Means for All Dimensions
- Learning latent causal graphs via mixture oracles
- A Survey on Neural Speech Synthesis
- Evaluation of Automated Image Descriptions for Visually Impaired Students
- Unified Questioner Transformer for Descriptive Question Generation in Goal-Oriented Visual Dialogue
- Semi-supervised learning with Bayesian Confidence Propagation Neural Network
- Uncertainty-Guided Progressive GANs for Medical Image Translation
- Hate speech detection using static BERT embeddings
- Subgroup Generalization and Fairness of Graph Neural Networks
- On Graph Neural Network Ensembles for Large-Scale Molecular Property Prediction
- Sounds of COVID-19: exploring realistic performance of audio-based digital testing
- GeoT: A Geometry-aware Transformer for Reliable Molecular Property Prediction and Chemically Interpretable Representation Learning
- Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function
- GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs
- Curious Explorer: a provable exploration strategy in Policy Learning
- Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins
- Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network
- Classification of Consumer Belief Statements From Social Media
- Generalized Orthogonal Procrustes Problem under Arbitrary Adversaries
- Personalized Federated Learning with Gaussian Processes
- Interactive Dimensionality Reduction for Comparative Analysis
- How Does Heterogeneous Label Noise Impact Generalization in Neural Nets?
- Few-Shot Electronic Health Record Coding through Graph Contrastive Learning
- A Mechanism for Producing Aligned Latent Spaces with Autoencoders
- Critically examining the Domain Generalizability of Facial Expression Recognition models
- Detecting Cattle and Elk in the Wild from Space
- Coach2vec: autoencoding the playing style of soccer coaches
- Zoo-Tuning: Adaptive Transfer from a Zoo of Models
- Semantic Reasoning from Model-Agnostic Explanations
- On exploring the potential of quantum auto-encoder for learning quantum systems
- Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
- Spiking-GAN: A Spiking Generative Adversarial Network Using Time-To-First-Spike Coding
- Convergent and Efficient Deep Q Network Algorithm
- IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement
- Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images
- Multiple Graph Learning for Scalable Multi-view Clustering
- Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes
- Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey
- DRILL-- Deep Reinforcement Learning for Refinement Operators in ALC
- Text Prior Guided Scene Text Image Super-resolution
- MAML is a Noisy Contrastive Learner in Classification
- Quantifying urban streetscapes with deep learning: focus on aesthetic evaluation
- Attack Transferability Characterization for Adversarially Robust Multi-label Classification
- Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
- On the Interaction of Belief Bias and Explanations
- Privacy Budget Scheduling
All 177
- Topic Modeling Based Extractive Text Summarization
- Contrastive Semantic Similarity Learning for Image Captioning Evaluation with Intrinsic Auto-encoder
- Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification
- Convolutional Sparse Coding Fast Approximation with Application to Seismic Reflectivity Estimation
- Reliable and Fast Recurrent Neural Network Architecture Optimization
- Adaptive Sample Selection for Robust Learning under Label Noise
- MFR 2021: Masked Face Recognition Competition
- Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation
- On Board Volcanic Eruption Detection through CNNs and Satellite Multispectral Imagery
- Open-Set Representation Learning through Combinatorial Embedding
- MU-MIMO Grouping For Real-time Applications
- SRF-Net: Selective Receptive Field Network for Anchor-Free Temporal Action Detection
- AutoNovel: Automatically Discovering and Learning Novel Visual Categories
- Unsupervised Technique To Conversational Machine Reading
- Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning
- Representation based meta-learning for few-shot spoken intent recognition
- New Arabic Medical Dataset for Diseases Classification
- Using Robust Regression to Find Font Usage Trends
- Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
- Convolutional Hypercomplex Embeddings for Link Prediction
- Leveraging Static Models for Link Prediction in Temporal Knowledge Graphs
- Fact Check: Analyzing Financial Events from Multilingual News Sources
- Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space
- A Non-parametric View of FedAvg and FedProx: Beyond Stationary Points
- Joint Majorization-Minimization for Nonnegative Matrix Factorization with the β-divergence
- Counterfactual Explanations for Arbitrary Regression Models
- Optimal Rates for Random Order Online Optimization
- Domain-Class Correlation Decomposition for Generalizable Person Re-Identification
- Inconspicuous Adversarial Patches for Fooling Image Recognition Systems on Mobile Devices
- Action Set Based Policy Optimization for Safe Power Grid Management
- Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers
- DCASE 2021 Task 3: Spectrotemporally-aligned Features for Polyphonic Sound Event Localization and Detection
- INN: A Method Identifying Clean-annotated Samples via Consistency Effect in Deep Neural Networks
- Enhancing the Analysis of Software Failures in Cloud Computing Systems with Deep Learning
- Wrong Colored Vermeer: Color-Symmetric Image Distortion
- Deep Inertial Navigation using Continuous Domain Adaptation and Optimal Transport
- TUCaN: Progressively Teaching Colourisation to Capsules
- Spatio-Temporal Context for Action Detection
- Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition
- Machine learning for plant microRNA prediction: A systematic review
- End-to-end Waveform Learning Through Joint Optimization of Pulse and Constellation Shaping
- GANSpeech: Adversarial Training for High-Fidelity Multi-Speaker Speech Synthesis
- The Price of Selfishness: Conjunctive Query Entailment for ALCSelf is 2ExpTime-hard
- SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption
- Learning from Multiple Annotators by Incorporating Instance Features
- Topic-to-Essay Generation with Comprehensive Knowledge Enhancement
- TWAG: A Topic-Guided Wikipedia Abstract Generator
- Meta-learning for Matrix Factorization without Shared Rows or Columns
- Do Not Deceive Your Employer with a Virtual Background: A Video Conferencing Manipulation-Detection System
- Regularized OFU: an Efficient UCB Estimator forNon-linear Contextual Bandit
- Evolving-Graph Gaussian Processes
- Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition
- FastPitchFormant: Source-filter based Decomposed Modeling for Speech Synthesis
- Face Sketch Synthesis via Semantic-Driven Generative Adversarial Network
- SDL: New data generation tools for full-level annotated document layout
- Neural Machine Translation for Low-Resource Languages: A Survey
- An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Location Deep Features
- Time-Aware Language Models as Temporal Knowledge Bases
- Attaining entropy production and dissipation maps from Brownian movies via neural networks
- Language Lexicons for Hindi-English Multilingual Text Processing
- Sexism in the Judiciary
- A Simple and Efficient Probabilistic Language model for Code-Mixed Text
- Molecule Generation by Principal Subgraph Mining and Assembling
- IREM: High-Resolution Magnetic Resonance (MR) Image Reconstruction via Implicit Neural Representation
- O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning
- Automatic Construction of Enterprise Knowledge Base
- ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification
- Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation
- An End-to-End Autofocus Camera for Iris on the Move
- Towards Understanding the Effectiveness of Attention Mechanism
- Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding
- GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference
- Improving Transferability of Adversarial Patches on Face Recognition with Generative Models
- Cross-domain error minimization for unsupervised domain adaptation
- FallDeF5: A Fall Detection Framework Using 5G-based Deep Gated Recurrent Unit Networks
- Benchmarking Knowledge-driven Zero-shot Learning
- EVPropNet: Detecting Drones By Finding Propellers For Mid-Air Landing And Following