Papers
Fri 25 Jun 2021
148 papers
- PQK: Model Compression via Pruning, Quantization, and Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Cross-Modal Knowledge Distillation Method for Automatic Cued Speech RecognitionKnowledge distillation → Speech and audio distillation
- Probing Inter-modality: Visual Parsing with Self-Attention for Vision-Language Pre-trainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Comparison of Lossless Image Formats
- iReason: Multimodal Commonsense Reasoning using Videos and Natural Language with Interpretability
- Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks
- aiSTROM -- A roadmap for developing a successful AI strategy
- Patient-independent Schizophrenia Relapse Prediction Using Mobile Sensor based Daily Behavioral Rhythm Changes
- LB-CNN: An Open Source Framework for Fast Training of Light Binary Convolutional Neural Networks using Chainer and Cupy
- Federated Learning for Intrusion Detection in IoT Security: A Hybrid Ensemble Approach
- Using Issues to Explain Legal Decisions
- Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization
- Predictive Control Using Learned State Space Models via Rolling Horizon Evolution
- Compositional Reinforcement Learning from Logical Specifications
- Building Bridges: Generative Artworks to Explore AI Ethics
- Domain Conditional Predictors for Domain Adaptation
- Closed-form Continuous-time Neural Models
- Implicit Gradient Alignment in Distributed and Federated Learning
- Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits
- Multimodal Few-Shot Learning with Frozen Language Models
- Semi-Supervised Raw-to-Raw Mapping
- Pastprop-RNN: improved predictions of the future by correcting the past
- Self-paced Principal Component Analysis
- Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations
- Transflower: probabilistic autoregressive dance generation with multimodal attention
- Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers
- A multi-stage machine learning model on diagnosis of esophageal manometry
- POLAR: A Polynomial Arithmetic Framework for Verifying Neural-Network Controlled Systems
- A Photonic-Circuits-Inspired Compact Network: Toward Real-Time Wireless Signal Classification at the Edge
- Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
- Semantic Parsing Natural Language into Relational Algebra
- Approximate Maximum Halfspace Discrepancy
- A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve Detection
- EARLIN: Early Out-of-Distribution Detection for Resource-efficient Collaborative Inference
- Ladder Polynomial Neural Networks
- Persian Rhetorical Structure Theory
- Quantum Data Compression and Quantum Cross Entropy
- XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages
- Training Saturation in Layerwise Quantum Approximate Optimisation
- Self-training Converts Weak Learners to Strong Learners in Mixture Models
- SITTA: Single Image Texture Translation for Data Augmentation
- Efficient Document Image Classification Using Region-Based Graph Neural Network
- Assessing Generalization of SGD via Disagreement
- Conjugate Energy-Based Models
- PVT v2: Improved Baselines with Pyramid Vision Transformer
- Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent
- Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation
- Interactive Multi-level Stroke Control for Neural Style Transfer
- Data efficiency in graph networks through equivariance
- Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems
- HyperNP: Interactive Visual Exploration of Multidimensional Projection Hyperparameters
- "Zero-Shot" Point Cloud Upsampling
- Voice Activity Detection for Transient Noisy Environment Based on Diffusion Nets
- Private Adaptive Gradient Methods for Convex Optimization
- Reinforcement Learning for Mean Field Games, with Applications to Economics
- Nonlinear Acoustic Echo Cancellation with Deep Learning
- Assessing the Lockdown Effects on Air Quality during COVID-19 Era
- Jitter: Random Jittering Loss Function
- On Incorporating Inductive Biases into VAEs
- Privileged Zero-Shot AutoML
- Advancing Methodology for Social Science Research Using Alternate Reality Games: Proof-of-Concept Through Measuring Individual Differences and Adaptability and their impact on Team Performance
- Re-parameterizing VAEs for stability
- DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual Encoders
- Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis
- Ranger21: a synergistic deep learning optimizer
- Primordial non-Gaussianity from the Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey I: Catalogue Preparation and Systematic Mitigation
- Learning to Sample Replacements for ELECTRA Pre-Training
- Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance
- Task-Driven Detection of Distribution Shifts with Statistical Guarantees for Robot Learning
- ViTAS: Vision Transformer Architecture Search
- Image-to-image Transformation with Auxiliary Condition
- CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals
- Posterior Covariance Information Criterion for Weighted Inference
- Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations
- panda-gym: Open-source goal-conditioned environments for robotic learning
- Feature Grouping and Sparse Principal Component Analysis with Truncated Regularization
- A proximal-proximal majorization-minimization algorithm for nonconvex tuning-free robust regression problems
- Prediction of Hereditary Cancers Using Neural Networks
- Robust Matrix Factorization with Grouping Effect
- Shape registration in the time of transformers
- Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
- Multi-player Multi-armed Bandits with Collision-Dependent Reward Distributions
- A mechanistic-based data-driven approach to accelerate structural topology optimization through finite element convolutional neural network (FE-CNN)
- VEGN: Variant Effect Prediction with Graph Neural Networks
- Transient Stability Analysis with Physics-Informed Neural Networks
- DeepLoc: A Ubiquitous Accurate and Low-Overhead Outdoor Cellular Localization System
- Animatable Neural Radiance Fields from Monocular RGB Videos
- Language Models are Good Translators
- Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote
- Partially fake it till you make it: mixing real and fake thermal images for improved object detection
- Fostering Diversity in Spatial Evolutionary Generative Adversarial Networks
- Learning Gradual Argumentation Frameworks using Genetic Algorithms
- Multiview Video Compression Using Advanced HEVC Screen Content Coding
- Video Moment Retrieval with Text Query Considering Many-to-Many Correspondence Using Potentially Relevant Pair
- A Novel Self-Learning Framework for Bladder Cancer Grading Using Histopathological Images
- SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images
- Exploring the Representation of Word Meanings in Context: A Case Study on Homonymy and Synonymy
- Graph Pattern Loss based Diversified Attention Network for Cross-Modal Retrieval
- Circumpapillary OCT-Focused Hybrid Learning for Glaucoma Grading Using Tailored Prototypical Neural Networks
- Connecting Sphere Manifolds Hierarchically for Regularization
All 148
- Tensor-based framework for training flexible neural networks
- Dealing with Expert Bias in Collective Decision-Making
- Deep Residual Echo Suppression with A Tunable Tradeoff Between Signal Distortion and Echo Suppression
- Manually Annotated Spelling Error Corpus for Amharic
- Temporal Graph Signal Decomposition
- Multi-Domain Active Learning: Literature Review and Comparative Study
- Phoneme-aware and Channel-wise Attentive Learning for Text DependentSpeaker Verification
- Littlestone Classes are Privately Online Learnable
- Evaluation of Deep-Learning-Based Voice Activity Detectors and Room Impulse Response Models in Reverberant Environments
- Data-based Design of Inferential Sensors for Petrochemical Industry
- On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy
- Online Self-Attentive Gated RNNs for Real-Time Speaker Separation
- Preliminary study on using vector quantization latent spaces for TTS/VC systems with consistent performance
- Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis
- Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains
- Interpreting Criminal Charge Prediction and Its Algorithmic Bias via Quantum-Inspired Complex Valued Networks
- A Picture May Be Worth a Hundred Words for Visual Question Answering
- A hybrid model-based and learning-based approach for classification using limited number of training samples
- NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation
- Binary Matrix Factorisation and Completion via Integer Programming
- Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering
- Subgraph Federated Learning with Missing Neighbor Generation
- Branch Prediction as a Reinforcement Learning Problem: Why, How and Case Studies
- Reliable Graph Neural Network Explanations Through Adversarial Training
- Federated Graph Classification over Non-IID Graphs
- Vulnerability and Transaction behavior based detection of Malicious Smart Contracts
- Identifying malicious accounts in Blockchains using Domain Names and associated temporal properties
- Diversifying Semantic Image Synthesis and Editing via Class- and Layer-wise VAEs
- Building Intelligent Autonomous Navigation Agents
- The Price of Tolerance in Distribution Testing
- Fine-grained Geolocation Prediction of Tweets with Human Machine Collaboration
- Generative Modeling for Multi-task Visual Learning
- JNLP Team: Deep Learning Approaches for Legal Processing Tasks in COLIEE 2021
- ParaLaw Nets -- Cross-lingual Sentence-level Pretraining for Legal Text Processing
- Decomposed Mutual Information Estimation for Contrastive Representation Learning
- Countering Adversarial Examples: Combining Input Transformation and Noisy Training
- Interpreting Depression From Question-wise Long-term Video Recording of SDS Evaluation
- HAN: An Efficient Hierarchical Self-Attention Network for Skeleton-Based Gesture Recognition
- Energy-Based Generative Cooperative Saliency Prediction
- Bayesian Eye Tracking
- A Source-Criticism Debiasing Method for GloVe Embeddings
- To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels
- Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model
- Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
- SeaNet -- Towards A Knowledge Graph Based Autonomic Management of Software Defined Networks
- RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection
- CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning
- Multifidelity Modeling for Physics-Informed Neural Networks (PINNs)