Papers
Thu 16 Sep 2021
168 papers
- Comparison and Unification of Three Regularization Methods in Batch Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Conservative Data Sharing for Multi-Task Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Membership Inference Attacks Against Recommender SystemsLLM safety and security → Membership inference attacks
- Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed QualitiesEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual PatternsEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle CommunicationWorld models → World models for autonomous driving
- SenTag: a Web-based Tool for Semantic Annotation of Textual Documents
- Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion
- Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference
- Unsupervised domain adaptation with non-stochastic missing data
- The Devil Is in the Details: An Efficient Convolutional Neural Network for Transport Mode Detection
- Machine learning methods for modelling and analysis of time series signals in geoinformatics
- Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires
- Balancing out Bias: Achieving Fairness Through Balanced Training
- Are we ready for beyond-application high-volume data? The Reeds robot perception benchmark dataset
- Regularized Training of Nearest Neighbor Language Models
- Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression
- Towards agricultural autonomy: crop row detection under varying field conditions using deep learning
- Strategic Ranking
- A computationally efficient framework for vector representation of persistence diagrams
- Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI
- Subtle Data Crimes: Naively training machine learning algorithms could lead to overly-optimistic results
- Reinforcement Learning on Encrypted Data
- Deep Spiking Neural Networks with Resonate-and-Fire Neurons
- A Bag of Tricks for Dialogue Summarization
- RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning
- Policy Choice and Best Arm Identification: Asymptotic Analysis of Exploration Sampling
- Stereo Video Reconstruction Without Explicit Depth Maps for Endoscopic Surgery
- A Divide-and-Merge Point Cloud Clustering Algorithm for LiDAR Panoptic Segmentation
- SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task Learning
- Beyond Average Performance -- exploring regions of deviating performance for black box classification models
- Pre-trained Gaussian Processes for Bayesian Optimization
- Procedures as Programs: Hierarchical Control of Situated Agents through Natural Language
- Reliable Neural Networks for Regression Uncertainty Estimation
- Numerical reasoning in machine reading comprehension tasks: are we there yet?
- Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision
- Simple Post-Training Robustness Using Test Time Augmentations and Random Forest
- Fast-Slow Transformer for Visually Grounding Speech
- Sparse Factorization of Large Square Matrices
- Interpretable Local Tree Surrogate Policies
- TANet: A new Paradigm for Global Face Super-resolution via Transformer-CNN Aggregation Network
- A Cautionary Tale of Decorrelating Theory Uncertainties
- An End-to-End Transformer Model for 3D Object Detection
- Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications
- Phrase Retrieval Learns Passage Retrieval, Too
- Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?
- Does Summary Evaluation Survive Translation to Other Languages?
- Neural 'Etendue Expander for Ultra-Wide-Angle High-Fidelity Holographic Display
- Revisiting Tri-training of Dependency Parsers
- A Survey of Online Hate Speech through the Causal Lens
- Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer
- MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection
- Aesthetics and neural network image representations
- MOFSimplify: Machine Learning Models with Extracted Stability Data of Three Thousand Metal-Organic Frameworks
- DisUnknown: Distilling Unknown Factors for Disentanglement Learning
- Context-NER : Contextual Phrase Generation at Scale
- Weighted Graph-Based Signal Temporal Logic Inference Using Neural Networks
- Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health
- Automatic Error Type Annotation for Arabic
- Associative Memories via Predictive Coding
- Invertible Frowns: Video-to-Video Facial Emotion Translation
- Urdu text in natural scene images: a new dataset and preliminary text detection
- Semi-Supervised Visual Representation Learning for Fashion Compatibility
- Frame by frame completion probability of an NFL pass
- A Machine Learning Framework for Automatic Prediction of Human Semen Motility
- Raising context awareness in motion forecasting
- Rotation Averaging in a Split Second: A Primal-Dual Method and a Closed-Form for Cycle Graphs
- Eformer: Edge Enhancement based Transformer for Medical Image Denoising
- Generating Dataset For Large-scale 3D Facial Emotion Recognition
- Locating Language-Specific Information in Contextualized Embeddings
- A Survey on Temporal Sentence Grounding in Videos
- WildWood: a new Random Forest algorithm
- The NiuTrans System for WNGT 2020 Efficiency Task
- Deep Algorithmic Question Answering: Towards a Compositionally Hybrid AI for Algorithmic Reasoning
- The NiuTrans System for the WMT21 Efficiency Task
- SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models
- KnowMAN: Weakly Supervised Multinomial Adversarial Networks
- ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations
- Context-aware Entity Typing in Knowledge Graphs
- Harnessing Perceptual Adversarial Patches for Crowd Counting
- Let the CAT out of the bag: Contrastive Attributed explanations for Text
- Do Language Models Know the Way to Rome?
- Alquist 4.0: Towards Social Intelligence Using Generative Models and Dialogue Personalization
- Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVL
- Real Time Monocular Vehicle Velocity Estimation using Synthetic Data
- Quality-aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled k-space Data
- Improving Unsupervised Question Answering via Summarization-Informed Question Generation
- Efficient Attribute Injection for Pretrained Language Models
- Overview of Tencent Multi-modal Ads Video Understanding Challenge
- Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection
- Lifting 2D Object Locations to 3D by Discounting LiDAR Outliers across Objects and Views
- RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization
- Don't Search for a Search Method -- Simple Heuristics Suffice for Adversarial Text Attacks
- PDBench: Evaluating Computational Methods for Protein Sequence Design
- M2RNet: Multi-modal and Multi-scale Refined Network for RGB-D Salient Object Detection
- On the inductive biases of deep domain adaptation
- Distributionally Robust Optimal Power Flow with Contextual Information
- Heterogeneous Relational Complement for Vehicle Re-identification
- Efficient Scaling of Dynamic Graph Neural Networks
- Automated risk classification of colon biopsies based on semantic segmentation of histopathology images
All 168
- A Quadratic Time Locally Optimal Algorithm for NP-hard Equal Cardinality Partition Optimization
- A Medical Pre-Diagnosis System for Histopathological Image of Breast Cancer
- MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity Recognition
- SketchHairSalon: Deep Sketch-based Hair Image Synthesis
- Resolution based Feature Distillation for Cross Resolution Person Re-Identification
- Explainability Requires Interactivity
- Humanly Certifying Superhuman Classifiers
- OMPQ: Orthogonal Mixed Precision Quantization
- Translation Transformers Rediscover Inherent Data Domains
- Building an Ensemble of Classifiers via Randomized Models of Ensemble Members
- Soft Confusion Matrix Classifier for Stream Classification
- Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments
- Context-aware Padding for Semantic Segmentation
- OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework
- The Language Model Understood the Prompt was Ambiguous: Probing Syntactic Uncertainty Through Generation
- Telehealthcare and Telepathology in Pandemic: A Noninvasive, Low-Cost Micro-Invasive and Multimodal Real-Time Online Application for Early Diagnosis of COVID-19 Infection
- Frequent Itemset Mining with Multiple Minimum Supports: a Constraint-based Approach
- Label Assignment Distillation for Object Detection
- Self-supervised Contrastive Learning for EEG-based Sleep Staging
- Incentives in Two-sided Matching Markets with Prediction-enhanced Preference-formation
- Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings
- Reframing Instructional Prompts to GPTk's Language
- Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition
- Directed degree corrected mixed membership model and estimating community memberships in directed networks
- Learning logic programs through divide, constrain, and conquer
- Probability-driven scoring functions in combining linear classifiers
- Transductive Learning for Unsupervised Text Style Transfer
- Detection Accuracy for Evaluating Compositional Explanations of Units
- Compact Binary Fingerprint for Image Copy Re-Ranking
- Label-Attention Transformer with Geometrically Coherent Objects for Image Captioning
- Marginal MAP Estimation for Inverse RL under Occlusion with Observer Noise
- MHFC: Multi-Head Feature Collaboration for Few-Shot Learning
- Towards Non-Line-of-Sight Photography
- Improving Neural Machine Translation by Bidirectional Training
- Constructing Emotion Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation
- Spanish Biomedical Crawled Corpus: A Large, Diverse Dataset for Spanish Biomedical Language Models
- Dense Semantic Contrast for Self-Supervised Visual Representation Learning
- Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization
- Deep Visual Navigation under Partial Observability
- Neural-network acceleration of projection-based model-order-reduction for finite plasticity: Application to RVEs
- Optimal Probing with Statistical Guarantees for Network Monitoring at Scale
- Scaling Laws for Neural Machine Translation
- A Comparative Study of Machine Learning Methods for Predicting the Evolution of Brain Connectivity from a Baseline Timepoint
- Few-Shot Object Detection by Attending to Per-Sample-Prototype
- Machine learning with quantum field theories
- Beyond 5G RIS mmWave Systems: Where Communication and Localization Meet
- MOVER: Mask, Over-generate and Rank for Hyperbole Generation
- Sister Help: Data Augmentation for Frame-Semantic Role Labeling
- Efficient Differentiable Simulation of Articulated Bodies
- Transferable Persona-Grounded Dialogues via Grounded Minimal Edits
- DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT
- Exploiting Activation based Gradient Output Sparsity to Accelerate Backpropagation in CNNs
- Dense Pruning of Pointwise Convolutions in the Frequency Domain
- Federated Submodel Optimization for Hot and Cold Data Features
- ROS-X-Habitat: Bridging the ROS Ecosystem with Embodied AI
- A Multi-Task Cross-Task Learning Architecture for Ad-hoc Uncertainty Estimation in 3D Cardiac MRI Image Segmentation
- SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving
- The Neural Metric Factorization for Computational Drug Repositioning
- Language Models are Few-shot Multilingual Learners
- Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis in Persian Reviews
- Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset
- An Ontology-Based Information Extraction System for Residential Land Use Suitability Analysis
- Dynamic Fusion Network for RGBT Tracking
- Machine-Learned HASDM Model with Uncertainty Quantification
- METEOR:A Dense, Heterogeneous, and Unstructured Traffic Dataset With Rare Behaviors
- Reinforcement Learning Policies in Continuous-Time Linear Systems
- Connecting Low-Loss Subspace for Personalized Federated Learning
- Adversarially Regularized Policy Learning Guided by Trajectory Optimization