Papers
Tue 31 Aug 2021
148 papers
- Robust Retrieval Augmented Generation for Zero-shot Slot FillingRetrieval-augmented generation → Generation and context integration
- Structured Prediction in NLP -- A survey
- Deep Generative Modeling for Protein Design
- Multi-Task Triplet Loss for Named Entity Recognition using Supplementary Text
- Automated Mining of Leaderboards for Empirical AI Research
- AraT5: Text-to-Text Transformers for Arabic Language Generation
- Meta-brain Models: biologically-inspired cognitive agents
- Efficient conformer: Progressive downsampling and grouped attention for automatic speech recognition
- Improving Multimodal fusion via Mutual Dependency Maximisation
- LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting
- Multistage Pruning of CNN Based ECG Classifiers for Edge Devices
- The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results
- Contrastive Multiview Coding with Electro-optics for SAR Semantic Segmentation
- Deep Learning with Uncertainty Quantification for Predicting the Segmentation Dice Coefficient of Prostate Cancer Biopsy Images
- CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds
- MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics
- Two-step Domain Adaptation for Mitosis Cell Detection in Histopathology Images
- Automatic non-invasive Cough Detection based on Accelerometer and Audio Signals
- Position-based Hash Embeddings For Scaling Graph Neural Networks
- Proceedings of KDD 2021 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning
- Bio-inspired robot perception coupled with robot-modeled human perception
- Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations
- GFINNs: GENERIC Formalism Informed Neural Networks for Deterministic and Stochastic Dynamical Systems
- It's not Rocket Science : Interpreting Figurative Language in Narratives
- Program Merge Conflict Resolution via Neural Transformers
- Interactive Machine Comprehension with Dynamic Knowledge Graphs
- Effectiveness of Deep Networks in NLP using BiDAF as an example architecture
- Informing Autonomous Deception Systems with Cyber Expert Performance Data
- Data-Driven Reduced-Order Modeling of Spatiotemporal Chaos with Neural Ordinary Differential Equations
- Sentence Bottleneck Autoencoders from Transformer Language Models
- Scalable Spatiotemporally Varying Coefficient Modelling with Bayesian Kernelized Tensor Regression
- Half-Space and Box Constraints as NUV Priors: First Results
- DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension
- Deep DNA Storage: Scalable and Robust DNA Storage via Coding Theory and Deep Learning
- Sense representations for Portuguese: experiments with sense embeddings and deep neural language models
- Machine-Learning media bias
- Working Memory Connections for LSTM
- A Generative Approach for Mitigating Structural Biases in Natural Language Inference
- Uniform Consistency in Nonparametric Mixture Models
- Quantization of Generative Adversarial Networks for Efficient Inference: a Methodological Study
- RealisticHands: A Hybrid Model for 3D Hand Reconstruction
- Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods
- Bayesian learning of forest and tree graphical models
- Effective Sequence-to-Sequence Dialogue State Tracking
- DeepTaskAPT: Insider APT detection using Task-tree based Deep Learning
- OARnet: Automated organs-at-risk delineation in Head and Neck CT images
- A Subsampling-Based Method for Causal Discovery on Discrete Data
- Detecting Mitosis against Domain Shift using a Fused Detector and Deep Ensemble Classification Model for MIDOG Challenge
- Incorporating Deception into CyberBattleSim for Autonomous Defense
- Artificial intelligence for online characterization of ultrashort X-ray free-electron laser pulses
- WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU
- Semi-Supervised Crowd Counting from Unlabeled Data
- Approximation Methods for Partially Observed Markov Decision Processes (POMDPs)
- Clustering of Pain Dynamics in Sickle Cell Disease from Sparse, Uneven Samples
- DepthTrack : Unveiling the Power of RGBD Tracking
- Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools
- A Novel Dataset for Keypoint Detection of quadruped Animals from Images
- APS: Active Pretraining with Successor Features
- Morphence: Moving Target Defense Against Adversarial Examples
- Decision Tree-Based Predictive Models for Academic Achievement Using College Students' Support Networks
- Bubblewrap: Online tiling and real-time flow prediction on neural manifolds
- ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets
- EG-Booster: Explanation-Guided Booster of ML Evasion Attacks
- Look Who's Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default
- Automatic digital twin data model generation of building energy systems from piping and instrumentation diagrams
- A manifold learning perspective on representation learning: Learning decoder and representations without an encoder
- Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia
- Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space
- The emojification of sentiment on social media: Collection and analysis of a longitudinal Twitter sentiment dataset
- mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset
- Like Article, Like Audience: Enforcing Multimodal Correlations for Disinformation Detection
- Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning
- Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning
- Using a one dimensional parabolic model of the full-batch loss to estimate learning rates during training
- One-shot domain adaptation for semantic face editing of real world images using StyleALAE
- When Retriever-Reader Meets Scenario-Based Multiple-Choice Questions
- InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images
- GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization
- Contrastive Domain Adaptation for Question Answering using Limited Text Corpora
- Towards a Common Testing Terminology for Software Engineering and Data Science Experts
- Deep Learning of Transferable MIMO Channel Modes for 6G V2X Communications
- PACE: Posthoc Architecture-Agnostic Concept Extractor for Explaining CNNs
- Self-Calibrating Neural Radiance Fields
- Aligning Hotel Embeddings using Domain Adaptation for Next-Item Recommendation
- Temporal Deep Learning Architecture for Prediction of COVID-19 Cases in India
- Chi-square Loss for Softmax: an Echo of Neural Network Structure
- Unsupervised Open-Domain Question Answering
- TREND: Trigger-Enhanced Relation-Extraction Network for Dialogues
- Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations
- Network psychometrics and cognitive network science open new ways for detecting, understanding and tackling the complexity of math anxiety: A review
- Discriminative Semantic Feature Pyramid Network with Guided Anchoring for Logo Detection
- Artificial Intelligence Algorithms for Natural Language Processing and the Semantic Web Ontology Learning
- The five Is: Key principles for interpretable and safe conversational AI
- Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience
- Automatic labelling of urban point clouds using data fusion
- Disentanglement Analysis with Partial Information Decomposition
- A Search Engine for Discovery of Scientific Challenges and Directions
- The Horn Non-Clausal Class and its Polynomiality
- Monolingual versus Multilingual BERTology for Vietnamese Extractive Multi-Document Summarization
- Plan-then-Generate: Controlled Data-to-Text Generation via Planning
All 148
- Super-Resolution Appearance Transfer for 4D Human Performances
- Deep Learning on Edge TPUs
- Pruning with Compensation: Efficient Channel Pruning for Deep Convolutional Neural Networks
- Evaluating the Robustness of Off-Policy Evaluation
- SemIE: Semantically-aware Image Extrapolation
- TNNT: The Named Entity Recognition Toolkit
- End-to-End Monocular Vanishing Point Detection Exploiting Lane Annotations
- Attention-based Multi-Reference Learning for Image Super-Resolution
- Phy-Q as a measure for physical reasoning intelligence
- Knowledge-Grounded Dialogue with Reward-Driven Knowledge Selection
- Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization
- Learning Practically Feasible Policies for Online 3D Bin Packing
- Task-Oriented Dialogue System as Natural Language Generation
- Semi-supervised Image Classification with Grad-CAM Consistency
- SANSformers: Self-Supervised Forecasting in Electronic Health Records with Attention-Free Models
- Unit-Modulus Wireless Federated Learning Via Penalty Alternating Minimization
- Is First Person Vision Challenging for Object Tracking?
- Gray Cycles of Maximum Length Related to k-Character Substitutions
- Automatic Rule Generation for Time Expression Normalization
- Double Machine Learning for Partially Linear Mixed-Effects Models with Repeated Measurements
- MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER
- Discretized Integrated Gradients for Explaining Language Models
- Explaining Classes through Word Attribution
- Heterogeneous Graph Neural Network with Multi-view Representation Learning
- Learning to Synthesize Programs as Interpretable and Generalizable Policies
- Module-Power Prediction from PL Measurements using Deep Learning
- When are Deep Networks really better than Decision Forests at small sample sizes, and how?
- SimulLR: Simultaneous Lip Reading Transducer with Attention-Guided Adaptive Memory
- Dynamic Sliding Window for Meeting Summarization
- Learning Optimal Prescriptive Trees from Observational Data
- Towards Out-Of-Distribution Generalization: A Survey
- Spike time displacement based error backpropagation in convolutional spiking neural networks
- Cross-Lingual Text Classification of Transliterated Hindi and Malayalam
- Segmentation Fault: A Cheap Defense Against Adversarial Machine Learning
- Iterative Filter Adaptive Network for Single Image Defocus Deblurring
- How Does Adversarial Fine-Tuning Benefit BERT?
- Self-balanced Learning For Domain Generalization
- Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender Systems
- AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks
- SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering
- T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP
- From Less to More: Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution
- A New Approach to Multilinear Dynamical Systems and Control
- DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data
- Rapidly and accurately estimating brain strain and strain rate across head impact types with transfer learning and data fusion
- Dead Pixel Test Using Effective Receptive Field
- Fast Multi-label Learning
- Astrocytes mediate analogous memory in a multi-layer neuron-astrocytic network