Papers
Tue 15 Feb 2022
186 papers
- Bayesian Imitation Learning for End-to-End Mobile ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Impact of Pretraining Term Frequencies on Few-Shot ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Algorithmic audits of algorithms, and the law
- Toxic Comments Hunter : Score Severity of Toxic Comments
- CQELS 2.0: Towards A Unified Framework for Semantic Stream Fusion
- Provably convergent quasistatic dynamics for mean-field two-player zero-sum games
- Integration of knowledge and data in machine learning
- Artificial Intelligence for the Metaverse: A Survey
- Efficient Cross-Modal Retrieval via Deep Binary Hashing and Quantization
- Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey
- Energy-Efficient Parking Analytics System using Deep Reinforcement Learning
- Deep Reinforcement Learning Based Multi-Access Edge Computing Schedule for Internet of Vehicle
- Private Quantiles Estimation in the Presence of Atoms
- Text-Based Action-Model Acquisition for Planning
- The Quarks of Attention
- Towards Verifiable Federated Learning
- Low-Rank Phase Retrieval with Structured Tensor Models
- Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Model
- An Extension Of Combinatorial Contextuality For Cognitive Protocols
- Self-Supervised Class-Cognizant Few-Shot Classification
- Modular multi-source prediction of drug side-effects with DruGNN
- Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP models
- Speech Denoising in the Waveform Domain with Self-Attention
- Safe Reinforcement Learning by Imagining the Near Future
- Trustworthy Anomaly Detection: A Survey
- Binary Classification for High Dimensional Data using Supervised Non-Parametric Ensemble Method
- Beyond Deterministic Translation for Unsupervised Domain Adaptation
- The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems
- LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter Data
- General-purpose, long-context autoregressive modeling with Perceiver AR
- Explainable Predictive Process Monitoring: A User Evaluation
- Architecture Agnostic Federated Learning for Neural Networks
- Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence Lifetime Microscopic Images with H&E-Stained Histology Images
- K-Means for Noise-Insensitive Multi-Dimensional Feature Learning
- Nonverbal Sound Detection for Disordered Speech
- Ab-initio Contrast Estimation and Denoising of Cryo-EM Images
- A Light-Weight Multi-Objective Asynchronous Hyper-Parameter Optimizer
- Enhancing Deformable Convolution based Video Frame Interpolation with Coarse-to-fine 3D CNN
- Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis
- A Subjective Quality Study for Video Frame Interpolation
- Active Uncertainty Reduction for Human-Robot Interaction: An Implicit Dual Control Approach
- Privacy Preserving Visual Question Answering
- On the Role of Channel Capacity in Learning Gaussian Mixture Models
- Misinformation Detection in Social Media Video Posts
- Simulating Malicious Attacks on VANETs for Connected and Autonomous Vehicle Cybersecurity: A Machine Learning Dataset
- Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks
- Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation
- Predicting on the Edge: Identifying Where a Larger Model Does Better
- Conformal Prediction Sets with Limited False Positives
- EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs
- Quantifying Memorization Across Neural Language Models
- Identifying subdominant collective effects in a large motorway network
- Lie Point Symmetry Data Augmentation for Neural PDE Solvers
- Wireless Resource Management in Intelligent Semantic Communication Networks
- One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian Optimization
- Delving Deeper into Cross-lingual Visual Question Answering
- Random Feature Amplification: Feature Learning and Generalization in Neural Networks
- Defending against Reconstruction Attacks with R'enyi Differential Privacy
- P4E: Few-Shot Event Detection as Prompt-Guided Identification and Localization
- Fairness Indicators for Systematic Assessments of Visual Feature Extractors
- A General Framework for Modelling Conditional Reasoning -- Preliminary Report
- Bayesian Optimisation for Active Monitoring of Air Pollution
- Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in Connected Vehicle Sensor Data
- Identifying equivalent Calabi--Yau topologies: A discrete challenge from math and physics for machine learning
- Shifting Trends of COVID-19 Tweet Sentiment with Respect to Voting Preferences in the 2020 Election Year of the United States
- Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection
- Multi-class granular approximation by means of disjoint and adjacent fuzzy granules
- Weighted Programming
- Forecasting Global Weather with Graph Neural Networks
- Damped Online Newton Step for Portfolio Selection
- On Representation Learning with Feedback
- ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification
- StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection
- CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning
- Improving the repeatability of deep learning models with Monte Carlo dropout
- Unsupervised Learning of Group Invariant and Equivariant Representations
- Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness
- On Deciding Feature Membership in Explanations of SDD & Related Classifiers
- A Theory of PAC Learnability under Transformation Invariances
- Label fusion and training methods for reliable representation of inter-rater uncertainty
- Robust Multi-Objective Bayesian Optimization Under Input Noise
- BLUE at Memotion 2.0 2022: You have my Image, my Text and my Transformer
- Information-Theoretic Analysis of Minimax Excess Risk
- Closing the Management Gap for Satellite-Integrated Community Networks: A Hierarchical Approach to Self-Maintenance
- Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
- Post-Training Quantization for Cross-Platform Learned Image Compression
- Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets
- Deep Constrained Least Squares for Blind Image Super-Resolution
- Confidence Threshold Neural Diving
- Texture Aware Autoencoder Pre-training And Pairwise Learning Refinement For Improved Iris Recognition
- Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms
- DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks
- Random Walks for Adversarial Meshes
- Phenotyping with Positive Unlabelled Learning for Genome-Wide Association Studies
- A precortical module for robust CNNs to light variations
- NeuPL: Neural Population Learning
- Interpretable Reinforcement Learning with Multilevel Subgoal Discovery
- Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective
- Deep learning and differential equations for modeling changes in individual-level latent dynamics between observation periods
- SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations
All 186
- Interpreting a Machine Learning Model for Detecting Gravitational Waves
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Persevering EdgeIoT
- Personalized Prompt Learning for Explainable Recommendation
- A Statistical Learning View of Simple Kriging
- Zero-Shot Assistance in Sequential Decision Problems
- MuLD: The Multitask Long Document Benchmark
- Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell Electrodes
- Multimodal Driver Referencing: A Comparison of Pointing to Objects Inside and Outside the Vehicle
- textless-lib: a Library for Textless Spoken Language Processing
- A Unified Framework for Masked and Mask-Free Face Recognition via Feature Rectification
- Realistic Counterfactual Explanations with Learned Relations
- Generalisation and the Risk--Entropy Curve
- Unreasonable Effectiveness of Last Hidden Layer Activations for Adversarial Robustness
- An algorithmic solution to the Blotto game using multi-marginal couplings
- Using Social Media Images for Building Function Classification
- HAA4D: Few-Shot Human Atomic Action Recognition via 3D Spatio-Temporal Skeletal Alignment
- ViNTER: Image Narrative Generation with Emotion-Arc-Aware Transformer
- XAI for Transformers: Better Explanations through Conservative Propagation
- User-Oriented Robust Reinforcement Learning
- Contextual Importance and Utility: aTheoretical Foundation
- Exploring Discontinuity for Video Frame Interpolation
- Don't stop the training: continuously-updating self-supervised algorithms best account for auditory responses in the cortex
- Adaptive Conformal Predictions for Time Series
- Towards Effective Multi-Task Interaction for Entity-Relation Extraction: A Unified Framework with Selection Recurrent Network
- Saving Dense Retriever from Shortcut Dependency in Conversational Search
- HiMA: A Fast and Scalable History-based Memory Access Engine for Differentiable Neural Computer
- SpeechPainter: Text-conditioned Speech Inpainting
- Hyper-relationship Learning Network for Scene Graph Generation
- Media Slant is Contagious
- Convolutional Network Fabric Pruning With Label Noise
- Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods
- Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks
- Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition
- Review of the Fingerprint Liveness Detection (LivDet) competition series: from 2009 to 2021
- Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe Screening
- Federated Graph Neural Networks: Overview, Techniques and Challenges
- Enhancing Cross-lingual Prompting with Dual Prompt Augmentation
- REPID: Regional Effect Plots with implicit Interaction Detection
- Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation
- CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval
- Explaining Reject Options of Learning Vector Quantization Classifiers
- Neural Architecture Search for Dense Prediction Tasks in Computer Vision
- Learning to Solve Routing Problems via Distributionally Robust Optimization
- Long-term Causal Inference Under Persistent Confounding via Data Combination
- Eliciting Best Practices for Collaboration with Computational Notebooks
- Few-shot semantic segmentation via mask aggregation
- Geometrically Equivariant Graph Neural Networks: A Survey
- Leveraging the Learnable Vertex-Vertex Relationship to Generalize Human Pose and Mesh Reconstruction for In-the-Wild Scenes
- Navigating Local Minima in Quantized Spiking Neural Networks
- Multi-style Training for South African Call Centre Audio
- Balancing Domain Experts for Long-Tailed Camera-Trap Recognition
- Case law retrieval: problems, methods, challenges and evaluations in the last 20 years
- Holistic Adversarial Robustness of Deep Learning Models
- Unsupervised word-level prosody tagging for controllable speech synthesis
- One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation
- Improving Human Sperm Head Morphology Classification with Unsupervised Anatomical Feature Distillation
- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
- On the Origins of the Block Structure Phenomenon in Neural Network Representations
- A Survey of Neural Trojan Attacks and Defenses in Deep Learning
- G-Mixup: Graph Data Augmentation for Graph Classification
- Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy
- DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid's Post-Fault Trajectories
- To what extent can Plug-and-Play methods outperform neural networks alone in low-dose CT reconstruction
- TURF: A Two-factor, Universal, Robust, Fast Distribution Learning Algorithm
- Fairness Amidst Non-IID Graph Data: A Literature Review
- OLIVE: Oblivious Federated Learning on Trusted Execution Environment against the risk of sparsification
- On Tracking Dialogue State by Inheriting Slot Values in Mentioned Slot Pools
- L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning
- Estimating risks of option books using neural-SDE market models
- NewsPod: Automatic and Interactive News Podcasts
- GAN-generated Faces Detection: A Survey and New Perspectives
- Machine Learning in Aerodynamic Shape Optimization
- Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge
- Debiased Self-Training for Semi-Supervised Learning
- Compositional Scene Representation Learning via Reconstruction: A Survey
- Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving
- Memory via Temporal Delays in weightless Spiking Neural Network
- STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation
- Transformers in Time Series: A Survey
- Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
- Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images
- Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack
- Gaze-Guided Class Activation Mapping: Leveraging Human Attention for Network Attention in Chest X-rays Classification
- Learning to Mitigate AI Collusion on Economic Platforms
- A Survey on Model Compression and Acceleration for Pretrained Language Models
- A Survey on Dynamic Neural Networks for Natural Language Processing