Papers
Thu 18 Feb 2021
151 papers
- Improved Denoising Diffusion Probabilistic ModelsDiffusion models → Diffusion foundations and sampling
- Privacy-Preserving Kickstarting Deep Reinforcement Learning with Privacy-Aware LearnersKnowledge distillation → Federated, robust and private distillation
- Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
- Continuous Doubly Constrained Batch Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Data Poisoning Attacks and Defenses to Crowdsourcing SystemsLLM safety and security → Backdoor and data poisoning attacks
- On the Sample Complexity of Stability Constrained Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- AudioVisual Speech Synthesis: A brief literature review
- Contrastive Pre-training for Imbalanced Corporate Credit Ratings
- Refinement Type Directed Search for Meta-Interpretive-Learning of Higher-Order Logic Programs
- Learning logic programs by explaining their failures
- Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization
- JST-RR Model: Joint Modeling of Ratings and Reviews in Sentiment-Topic Prediction
- Semantic Parsing to Manipulate Relational Database For a Management System
- WebRED: Effective Pretraining And Finetuning For Relation Extraction On The Web
- Fixing Errors of the Google Voice Recognizer through Phonetic Distance Metrics
- Training a Resilient Q-Network against Observational Interference
- Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches
- When Are Solutions Connected in Deep Networks?
- Joint Characterization of Multiscale Information in High Dimensional Data
- Dynamic curriculum learning via data parameters for noise robust keyword spotting
- MUDES: Multilingual Detection of Offensive Spans
- Smart Feasibility Pump: Reinforcement Learning for (Mixed) Integer Programming
- SVRG Meets AdaGrad: Painless Variance Reduction
- Attempted Blind Constrained Descent Experiments
- Control Variate Approximation for DNN Accelerators
- Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks
- Peering Beyond the Gradient Veil with Distributed Auto Differentiation
- A Simple Unified Framework for High Dimensional Bandit Problems
- Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizability
- Noise Entangled GAN For Low-Dose CT Simulation
- Multipopulation mortality modelling and forecasting: The multivariate functional principal component with time weightings approaches
- Modelling Paralinguistic Properties in Conversational Speech to Detect Bipolar Disorder and Borderline Personality Disorder
- Towards Solving the DeepFake Problem : An Analysis on Improving DeepFake Detection using Dynamic Face Augmentation
- A Differential Geometry Perspective on Orthogonal Recurrent Models
- Interpretable Stability Bounds for Spectral Graph Filters
- Encoding Frequency Constraints in Preventive Unit Commitment Using Deep Learning with Region-of-Interest Active Sampling
- Benefits of Linear Conditioning with Metadata for Image Segmentation
- A Deep Embedded Refined Clustering Approach for Breast Cancer Distinction based on DNA Methylation
- A Latent Space Model for Multilayer Network Data
- CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
- Knowledge Hypergraph Embedding Meets Relational Algebra
- Delving into Deep Imbalanced Regression
- A Systematic Review of Natural Language Processing Applied to Radiology Reports
- Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer
- Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development
- Deep Gait Recognition: A Survey
- Combinatorial optimization and reasoning with graph neural networks
- SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering
- Off-policy Confidence Sequences
- iX-BSP: Incremental Belief Space Planning
- Clockwork Variational Autoencoders
- Fuzzy clustering algorithms with distance metric learning and entropy regularization
- Image Compositing for Segmentation of Surgical Tools without Manual Annotations
- Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoff
- Convex regularization in statistical inverse learning problems
- Essentials for Class Incremental Learning
- Domain Adaptation for Medical Image Analysis: A Survey
- Regular Expressions for Fast-response COVID-19 Text Classification
- Transfer Learning for Linear Regression: a Statistical Test of Gain
- Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks
- Optimizing Black-box Metrics with Iterative Example Weighting
- Data-Aware Device Scheduling for Federated Edge Learning
- A Bit Better? Quantifying Information for Bandit Learning
- A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model
- Unbiased Teacher for Semi-Supervised Object Detection
- Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications
- Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays
- DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results
- Fake News Detection: a comparison between available Deep Learning techniques in vector space
- Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football
- Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization
- Quantum field-theoretic machine learning
- State Entropy Maximization with Random Encoders for Efficient Exploration
- Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction
- A Machine Learning model of the combination of normalized SD1 and SD2 indexes from 24h-Heart Rate Variability as a predictor of myocardial infarction
- Adaptive Rational Activations to Boost Deep Reinforcement Learning
- Meta-Transfer Learning for Low-Resource Abstractive Summarization
- Robust PDF Document Conversion Using Recurrent Neural Networks
- On the Convergence of Step Decay Step-Size for Stochastic Optimization
- L2E: Learning to Exploit Your Opponent
- UnibucKernel: Geolocating Swiss German Jodels Using Ensemble Learning
- Hierarchical Similarity Learning for Language-based Product Image Retrieval
- Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning
- A Comprehensive Review of Deep Learning-based Single Image Super-resolution
- On Typical Hesitant Fuzzy Languages and Automata
- Domain Adaptive Learning Based on Sample-Dependent and Learnable Kernels
- Reinforcement Learning for Datacenter Congestion Control
- StablePose: Learning 6D Object Poses from Geometrically Stable Patches
- HVAQ: A High-Resolution Vision-Based Air Quality Dataset
- Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identification
- Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction
- Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm
- Hierarchical Learning Using Deep Optimum-Path Forest
- VAE Approximation Error: ELBO and Exponential Families
- Boosting for Online Convex Optimization
- GradFreeBits: Gradient Free Bit Allocation for Dynamic Low Precision Neural Networks
- Sliced L2 Distance for Colour Grading
- Reduced-Order Neural Network Synthesis with Robustness Guarantees
- Truncation-Free Matching System for Display Advertising at Alibaba
- Learning to Select Context in a Hierarchical and Global Perspective for Open-domain Dialogue Generation
All 151
- DINO: A Conditional Energy-Based GAN for Domain Translation
- On the advantages of stochastic encoders
- Dynamic Memory based Attention Network for Sequential Recommendation
- Training Large-Scale News Recommenders with Pretrained Language Models in the Loop
- Sparse-Interest Network for Sequential Recommendation
- PLAM: a Posit Logarithm-Approximate Multiplier
- A matrix approach to detect temporal behavioral patterns at electric vehicle charging stations
- Biometrics in the Era of COVID-19: Challenges and Opportunities
- Strategic bidding in freight transport using deep reinforcement learning
- Composable Generative Models
- HandTailor: Towards High-Precision Monocular 3D Hand Recovery
- DSRN: an Efficient Deep Network for Image Relighting
- Deep Residual Networks Learn the Geodesic Curve in the Wasserstein Space
- ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks
- The Variational Bayesian Inference for Network Autoregression Models
- Random Projections for Improved Adversarial Robustness
- Data-driven formulation of natural laws by recursive-LASSO-based symbolic regression
- Learning Memory-Dependent Continuous Control from Demonstrations
- Less is More: Pre-train a Strong Text Encoder for Dense Retrieval Using a Weak Decoder
- Towards a mathematical theory of trajectory inference
- Unsupervised Clustering of Time Series Signals using Neuromorphic Energy-Efficient Temporal Neural Networks
- Minimizing false negative rate in melanoma detection and providing insight into the causes of classification
- Learning Continuous Exponential Families Beyond Gaussian
- DeepMuD: Multi-user Detection for Uplink Grant-Free NOMA IoT Networks via Deep Learning
- SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning
- Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm
- Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization
- Hierarchical Attention Fusion for Geo-Localization
- A maximum entropy model of bounded rational decision-making with prior beliefs and market feedback
- Deep Neural Networks based Invisible Steganography for Audio-into-Image Algorithm
- Robust and Differentially Private Mean Estimation
- An Enhanced Adversarial Network with Combined Latent Features for Spatio-Temporal Facial Affect Estimation in the Wild
- Improved Point Transformation Methods For Self-Supervised Depth Prediction
- Algorithmic pricing with independent learners and relative experience replay
- Multi-Agent Reinforcement Learning of 3D Furniture Layout Simulation in Indoor Graphics Scenes
- From Extreme Multi-label to Multi-class: A Hierarchical Approach for Automated ICD-10 Coding Using Phrase-level Attention
- Densely Nested Top-Down Flows for Salient Object Detection
- Entity-level Factual Consistency of Abstractive Text Summarization
- Efficient Online ML API Selection for Multi-Label Classification Tasks
- Learning Invariant Representation of Tasks for Robust Surgical State Estimation
- Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking
- Echo State Speech Recognition
- Online Optimization and Ambiguity-based Learning of Distributionally Uncertain Dynamic Systems
- Understanding and Creating Art with AI: Review and Outlook
- DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates
- Distributed Algorithms for Linearly-Solvable Optimal Control in Networked Multi-Agent Systems
- Online k-means Clustering on Arbitrary Data Streams
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
- Quiz-Style Question Generation for News Stories
- TapNet: The Design, Training, Implementation, and Applications of a Multi-Task Learning CNN for Off-Screen Mobile Input
- Consistent Non-Parametric Methods for Maximizing Robustness