Papers
Wed 22 Sep 2021
164 papers
- Making Human-Like Trade-offs in Constrained Environments by Learning from DemonstrationsOffline RL and imitation learning from data → Inverse reinforcement learning
- BFClass: A Backdoor-free Text Classification FrameworkLLM safety and security → Backdoor and data poisoning attacks
- Imitation Learning of Stabilizing Policies for Nonlinear SystemsOffline RL and imitation learning from data → Imitation learning methods
- A Workflow for Offline Model-Free Robotic Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Low-Latency Incremental Text-to-Speech Synthesis with Distilled Context Prediction NetworkKnowledge distillation → Speech and audio distillation
- A Reinforcement Learning Benchmark for Autonomous Driving in Intersection ScenariosEnd-to-end autonomous driving → Reinforcement learning for driving
- KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge DistillationKnowledge distillation → Multimodal distillation
- Scalable and Efficient MoE Training for Multitask Multilingual ModelsMixture-of-experts → MoE large language models
- KOHTD: Kazakh Offline Handwritten Text Dataset
- Randomized Projection Learning Method forDynamic Mode Decomposition
- 3N-GAN: Semi-Supervised Classification of X-Ray Images with a 3-Player Adversarial Framework
- NudgeSeg: Zero-Shot Object Segmentation by Repeated Physical Interaction
- Domain Generalization for Vision-based Driving Trajectory Generation
- EEG Signal Processing using Wavelets for Accurate Seizure Detection through Cost Sensitive Data Mining
- The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images
- Analysis of chaotic dynamical systems with autoencoders
- Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment
- A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatar
- A Novel Factor Graph-Based Optimization Technique for Stereo Correspondence Estimation
- Predicting Stress in Remote Learning via Advanced Deep Learning Technologies
- Learning to Downsample for Segmentation of Ultra-High Resolution Images
- Actionable Conversational Quality Indicators for Improving Task-Oriented Dialog Systems
- Using Sociolinguistic Variables to Reveal Changing Attitudes Towards Sexuality and Gender
- Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models
- Weighted Low-Rank Matrix Approximation: Acceleration and Applications
- Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning
- On Bonus-Based Exploration Methods in the Arcade Learning Environment
- Towards practical object detection for weed spraying in precision agriculture
- Cross-Modal Coherence for Text-to-Image Retrieval
- Training Deep Spiking Auto-encoders without Bursting or Dying Neurons through Regularization
- Learning Predictive and Interpretable Timeseries Summaries from ICU Data
- Security Analysis of Capsule Network Inference using Horizontal Collaboration
- Conditional Poisson Stochastic Beam Search
- Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques
- Social-Media Activity Forecasting with Exogenous Information Signals
- Exploring Decomposition for Table-based Fact Verification
- Alzheimers Dementia Detection using Acoustic & Linguistic features and Pre-Trained BERT
- A Benchmark Comparison of Visual Place Recognition Techniques for Resource-Constrained Embedded Platforms
- Scalable Fact-checking with Human-in-the-Loop
- An Efficient and Scalable Collection of Fly-inspired Voting Units for Visual Place Recognition in Changing Environments
- Learning Contrastive Representation for Semantic Correspondence
- A Profile-Based Binary Feature Extraction Method Using Frequent Itemsets for Improving Coronary Artery Disease Diagnosis
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
- On Optimal Robustness to Adversarial Corruption in Online Decision Problems
- Quantitative analysis of phase transitions in two-dimensional XY models using persistent homology
- Cross-linguistically Consistent Semantic and Syntactic Annotation of Child-directed Speech
- T6D-Direct: Transformers for Multi-Object 6D Pose Direct Regression
- Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes
- Temporal Scale Estimation for Oversampled Network Cascades: Theory, Algorithms, and Experiment
- Robust Generalization of Quadratic Neural Networks via Function Identification
- On the equivalence of different adaptive batch size selection strategies for stochastic gradient descent methods
- An Exploration of Learnt Representations of W Jets
- The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence
- Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines
- A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems
- Updating Embeddings for Dynamic Knowledge Graphs
- A Physics inspired Functional Operator for Model Uncertainty Quantification in the RKHS
- ENERO: Efficient Real-Time WAN Routing Optimization with Deep Reinforcement Learning
- Recursively Summarizing Books with Human Feedback
- Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation
- Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data
- Pix2seq: A Language Modeling Framework for Object Detection
- DVC-P: Deep Video Compression with Perceptual Optimizations
- Small-Bench NLP: Benchmark for small single GPU trained models in Natural Language Processing
- AI-HRI 2021 Proceedings
- SCSS-Net: Solar Corona Structures Segmentation by Deep Learning
- Learning by Examples Based on Multi-level Optimization
- Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals
- Multi-Slice Clustering for 3-order Tensor Data
- Improved Multi-label Classification with Frequent Label-set Mining and Association
- Neural network relief: a pruning algorithm based on neural activity
- Entropic Issues in Likelihood-Based OOD Detection
- Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators
- Introducing Symmetries to Black Box Meta Reinforcement Learning
- Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images
- Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images
- Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers
- HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation
- An artificial neural network approach to bifurcating phenomena in computational fluid dynamics
- FaceEraser: Removing Facial Parts for Augmented Reality
- Natural Typing Recognition via Surface Electromyography
- Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-based Convolutional Neural Networks
- DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editing
- Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods
- Animal inspired Application of a Variant of Mel Spectrogram for Seismic Data Processing
- A formalisation of BPMN in Description Logics
- Simulated Annealing for Emotional Dialogue Systems
- A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation
- CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks
- Differentiable Surface Triangulation
- Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers
- Adaptive Neural Message Passing for Inductive Learning on Hypergraphs
- A Latent Restoring Force Approach to Nonlinear System Identification
- rSVDdpd: A Robust Scalable Video Surveillance Background Modelling Algorithm
- Natural Language Video Localization with Learnable Moment Proposals
- Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation
- A deep neural network for multi-species fish detection using multiple acoustic cameras
- TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression
- Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques
- MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization
All 164
- Caption Enriched Samples for Improving Hateful Memes Detection
- Contrastive Learning for Fair Representations
- Decentralized Learning of Tree-Structured Gaussian Graphical Models from Noisy Data
- Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction
- LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders
- Facilitating human-wildlife cohabitation through conflict prediction
- Reactive Answer Set Programming
- Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning
- Sharp Analysis of Random Fourier Features in Classification
- Solving Large Steiner Tree Problems in Graphs for Cost-Efficient Fiber-To-The-Home Network Expansion
- Enriching and Controlling Global Semantics for Text Summarization
- COVR: A test-bed for Visually Grounded Compositional Generalization with real images
- NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset
- Context-aware Tree-based Deep Model for Recommender Systems
- Efficient Context-Aware Network for Abdominal Multi-organ Segmentation
- Diarisation using location tracking with agglomerative clustering
- Fully probabilistic design for knowledge fusion between Bayesian filters under uniform disturbances
- Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation
- Emulating Aerosol Microphysics with Machine Learning
- Bayesian Optimization with Clustering and Rollback for CNN Auto Pruning
- Partial sensitivity analysis in differential privacy
- DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm
- An automatic differentiation system for the age of differential privacy
- The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data?
- Rating transitions forecasting: a filtering approach
- Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-supervised Learning
- Hierarchical Multimodal Transformer to Summarize Videos
- MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning
- K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering
- Minimax Rates for High-Dimensional Random Tessellation Forests
- Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing
- Index t-SNE: Tracking Dynamics of High-Dimensional Datasets with Coherent Embeddings
- Cram'er-Rao bound-informed training of neural networks for quantitative MRI
- Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages
- A unified interpretation of the Gaussian mechanism for differential privacy through the sensitivity index
- A Method For Adding Motion-Blur on Arbitrary Objects By using Auto-Segmentation and Color Compensation Techniques
- Investigating and Modeling the Dynamics of Long Ties
- Incorporating Data Uncertainty in Object Tracking Algorithms
- Towards The Automatic Coding of Medical Transcripts to Improve Patient-Centered Communication
- Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis
- FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning
- Unsupervised Contextualized Document Representation
- Tecnologica cosa: Modeling Storyteller Personalities in Boccaccio's Decameron
- Identifying Potential Exomoon Signals with Convolutional Neural Networks
- A Spectral Approach to Off-Policy Evaluation for POMDPs
- HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning
- Joint Optical Neuroimaging Denoising with Semantic Tasks
- Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification
- A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context
- Benchmarking Augmentation Methods for Learning Robust Navigation Agents: the Winning Entry of the 2021 iGibson Challenge
- Single Image Dehazing with An Independent Detail-Recovery Network
- Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning
- The NiuTrans Machine Translation Systems for WMT21
- DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder
- AI in Osteoporosis
- Generating Compositional Color Representations from Text
- Self-Supervised Learning to Prove Equivalence Between Straight-Line Programs via Rewrite Rules
- Salience-Aware Event Chain Modeling for Narrative Understanding
- Rapid detection and recognition of whole brain activity in a freely behaving Caenorhabditis elegans
- MVM3Det: A Novel Method for Multi-view Monocular 3D Detection
- Rotor Localization and Phase Mapping of Cardiac Excitation Waves using Deep Neural Networks
- The First Vision For Vitals (V4V) Challenge for Non-Contact Video-Based Physiological Estimation
- Differentiable Scaffolding Tree for Molecular Optimization
- A Hierarchical Network-Oriented Analysis of User Participation in Misinformation Spread on WhatsApp