- Human ≠ AGI
- A Metamodel and Framework for AGI
- Counterfactual Planning in AGI Systems
- The AGI Containment Problem
- A Metamodel and Framework for Artificial General Intelligence From Theory to Practice
- Patterns of Cognition: Cognitive Algorithms as Galois Connections Fulfilled by Chronomorphisms On Probabilistically Typed Metagraphs, Ben Goertzel
- Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles
- Google Research Scholar Program
- Relevant pre-AGI possibilities
- Fiction relevant to AI futurism
- Coherence arguments imply a force for goal-directed behavior
- Argument for AI x-risk from large impacts
- The race against time for smarter development
- AI Impacts 2020 review
- A developer built an AI chatbot using GPT-3 that helped a man speak again to his late fiancée. OpenAI shut it down
- Is Artificial General Intelligence (AGI) On The Horizon? Interview With Dr. Ben Goertzel, CEO & Founder, SingularityNET Foundation
- Scene Graphs: A Survey of Generations and Applications
- A Survey on Deep Learning Technique for Video Segmentation
- Automated Machine Learning on Graphs: A Survey
- Deep Learning for Text Style Transfer: A Survey
- Measure and Improve Robustness in NLP Models: A Survey
- Survey of Generative Methods for Social Media Analysis
- A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts
- A Survey of Near-Data Processing Architectures for Neural Networks
- Comparison and Analysis of Image-to-Image Generative Adversarial Networks: A Survey
- A Compact Survey on Event Extraction: Approaches and Applications
- Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies
- Multi-document Summarization via Deep Learning Techniques: A Survey
- Question Answering Survey: Directions, Challenges, Datasets, Evaluation Matrices
- Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness
- A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
- Dynamic Neural Networks: A Survey
- Outlier Detection using AI: A Survey
- A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities
- When Creators Meet the Metaverse: A Survey on Computational Arts
- A Survey of Orthogonal Moments for Image Representation: Theory, Implementation, and Evaluation
- Graph Kernels: A Survey
- Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
- Data Augmentation Approaches in Natural Language Processing: A Survey
- Fine-Grained Image Analysis with Deep Learning: A Survey
- On the Opportunities and Risks of Foundation Models
- Hybrid Intelligence
- Machine Learning Explainability for External Stakeholders
- Recognizing Vector Graphics without Rasterization
- StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2
- LINDA: Unsupervised Learning to Interpolate in Natural Language Processing
- A Step Toward Quantifying Independently Reproducible Machine Learning Research
- Seeking Sinhala Sentiment: Predicting Facebook Reactions of Sinhala Posts
- Critical Sentence Identification in Legal Cases Using Multi-Class Classification
- A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model
- Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention
- Tensor networks and efficient descriptions of classical data
- AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition
- Deep Learning for Micro-expression Recognition: A Survey
- Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
- Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
- Attention Mechanisms in Computer Vision: A Survey
- Machine Learning Based Cyber Attacks Targeting on Controlled Information: A Survey
- Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges
- Edge-Cloud Polarization and Collaboration: A Comprehensive Survey
- Fine-Grained Image Analysis with Deep Learning: A Survey
- A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations
- Learning from Noisy Labels with Deep Neural Networks: A Survey
- Explanations in Autonomous Driving: A Survey
- Membership Inference Attacks on Machine Learning: A Survey
- Low-Light Image and Video Enhancement Using Deep Learning: A Survey
- Dataset of Fake News Detection and Fact Verification: A Survey
- Modeling Techniques for Machine Learning Fairness: A Survey
- Applications of deep learning in traffic congestion detection, prediction and alleviation: A survey
- Large-Scale Deep Learning Optimizations: A Comprehensive Survey
- Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
- Deep Learning Based Brain Tumor Segmentation: A Survey
- A Survey of Generalisation in Deep Reinforcement Learning
- Laplace Redux -- Effortless Bayesian Deep Learning
- A Survey of Self-Supervised and Few-Shot Object Detection
- Understanding How Encoder-Decoder Architectures Attend
- Blending Anti-Aliasing into Vision Transformer
- UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model
- Learning to Ground Multi-Agent Communication with Autoencoders
- Gradient Inversion with Generative Image Prior
- Simultaneous Neural Machine Translation with Constituent Label Prediction
- Fast Model Editing at Scale
- Towards Realistic Market Simulations: a Generative Adversarial Networks Approach
- Applications of the Free Energy Principle to Machine Learning and Neuroscience
- ByteTrack: Multi-Object Tracking by Associating Every Detection Box
- Datasets: A Community Library for Natural Language Processing
- Preventing dataset shift from breaking machine-learning biomarkers
- Learning Graph Cellular Automata
- Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review
- Perceiver IO: A General Architecture for Structured Inputs & Outputs
- A Search Engine for Discovery of Scientific Challenges and Directions
- Delphi: Towards Machine Ethics and Norms
- Multitask Prompted Training Enables Zero-Shot Task Generalization
- Leveraging Automated Unit Tests for Unsupervised Code Translation
- Self-Supervised Object Detection via Generative Image Synthesis
- Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers
- EvilModel: Hiding Malware Inside of Neural Network Models
- Compositional Attention: Disentangling Search and Retrieval
- NeuralDiff: Segmenting 3D objects that move in egocentric videos
- Analyzing Commonsense Emergence in Few-shot Knowledge Models
- Towards a fully RL-based Market Simulator
- No RL, No Simulation: Learning to Navigate without Navigating
- Neurosymbolic AI: The 3rd Wave
- Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning
- Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning
- Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective
- Broaden Your Views for Self-Supervised Video Learning
- CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents
- Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization
- HUNTER: AI based Holistic Resource Management for Sustainable Cloud Computing
- NAS-Bench-360: Benchmarking Diverse Tasks for Neural Architecture Search
- Urban traffic dynamic rerouting framework: A DRL-based model with fog-cloud architecture
- Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
- Model-based actor-critic: GAN (model generator) + DRL (actor-critic) => AGI
- Neuro-Symbolic VQA: A review from the perspective of AGI desiderata
- Distilling Image Classifiers in Object Detectors
- Broaden Your Views for Self-Supervised Video Learning
- This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces
- Leveraging Automated Unit Tests for Unsupervised Code Translation
- ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods
- Neural Algorithmic Reasoning
- ETA Prediction with Graph Neural Networks in Google Maps
- Differentiable Stereopsis: Meshes from multiple views using differentiable rendering
- Big Self-Supervised Models Advance Medical Image Classification
- FooDI-ML: a large multi-language dataset of food, drinks and groceries images and descriptions
- Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
- Learnability of the output distributions of local quantum circuits
- MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identification
- A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems
- Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation
- From SLAM to Situational Awareness: Challenges and Survey
- Pre-trained Language Models in Biomedical Domain: A Systematic Survey
- Scene Graphs: A Survey of Generations and Applications
- A Comprehensive Survey on Community Detection with Deep Learning
- Deep Learning for Embodied Vision Navigation: A Survey
- A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it
- Deep Long-Tailed Learning: A Survey
- Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions
- Visually grounded models of spoken language: A survey of datasets, architectures and evaluation techniques Grzegorz Chrupała
- Blockchain-based Federated Learning: A Comprehensive Survey
- Deep Learning-based Spacecraft Relative Navigation Methods: A Survey
- KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey
- Data Augmentation Approaches in Natural Language Processing: A Survey
- Transformers in Vision: A Survey
- Unsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions
- Survey and synthesis of state of the art in driver monitoring
- A Survey of Knowledge Enhanced Pre-trained Models
- A Survey of Embodied AI: From Simulators to Research Tasks
- A Comprehensive Survey and Performance Analysis of Activation Functions in Deep Learning
- From Beginner to Master: A Survey for Deep Learning-based Single-Image Super-Resolution
- On the Opportunities and Risks of Foundation Models
- Solo-learn: A Library of Self-supervised Methods for Visual Representation Learning
- How to avoid machine learning pitfalls: a guide for academic researchers
- Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling
- Bias in Machine Learning -- What is it Good for?
- Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
- Tabular Data: Deep Learning is Not All You Need
- Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation
- A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis
- Vehicle-counting with Automatic Region-of-Interest and Driving-Trajectory detection
- Mobile-Former: Bridging MobileNet and Transformer
- MicroNet: Improving Image Recognition with Extremely Low FLOPs
- Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations
- Distilling Holistic Knowledge with Graph Neural Networks
- ULTRA: An Unbiased Learning To Rank Algorithm Toolbox
- How Commonsense Knowledge Helps with Natural Language Tasks: A Survey of Recent Resources and Methodologies
- Can AI Make a Better Fusion Reactor? Nuclear physics may be one of machine learning's newest frontiers
- Generating stable molecules using imitation and reinforcement learning
- Industry and Academic Research in Computer Vision
- Evaluating Large Language Models Trained on Code
- A Survey of Uncertainty in Deep Neural Networks
- BumbleBee: A Transformer for Music
- Demystifying the Draft EU Artificial Intelligence Act
- SoundStream: An End-to-End Neural Audio Codec
- Neural Waveshaping Synthesis
- Real-Time Super-Resolution System of 4K-Video Based on Deep Learning
- CMT: Convolutional Neural Networks Meet Vision Transformers
- The Causal Neural Connection: Expressiveness, Learnability, and Inference
- AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing
- Ubiquitous Acoustic Sensing on Commodity IoT Devices: A Survey
- Post-hoc Interpretability for Neural NLP: A Survey
- A Survey on Negative Transfer
- GAN Computers Generate Arts? A Survey on Visual Arts, Music, and Literary Text Generation using Generative Adversarial Network
- Transfer Learning for Future Wireless Networks: A Comprehensive Survey
- A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions
- A Survey on Assessing the Generalization Envelope of Deep Neural Networks: Predictive Uncertainty, Out-of-distribution and Adversarial Samples
- A Survey of Human-in-the-loop for Machine Learning
- Human Evaluation of Creative NLG Systems: An Interdisciplinary Survey on Recent Papers
- Bridging Gap between Image Pixels and Semantics via Supervision: A Survey
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
- Predicting the Future from First Person (Egocentric) Vision: A Survey
- Federated Learning Meets Natural Language Processing: A Survey
- A Survey on Data-driven Software Vulnerability Assessment and Prioritization
- A Survey on Neural Speech Synthesis
- Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Technical Challenges and Solutions
- Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey
- Active Divergence with Generative Deep Learning -- A Survey and Taxonomy
- Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
- Security in Next Generation Mobile Payment Systems: A Comprehensive Survey
- Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
- Survey: Leakage and Privacy at Inference Time
- A Survey on Deep Learning Technique for Video Segmentation
- A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
- Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test
- Evolutionary Algorithms in Approximate Computing: A Survey
- Complex Knowledge Base Question Answering: A Survey
- Graph-based Deep Learning for Communication Networks: A Survey
- Conversational Question Answering: A Survey
- Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey
- A Survey of Knowledge Tracing
- A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
- Decision Transformer: Reinforcement Learning via Sequence Modeling
- SOLQ: Segmenting Objects by Learning Queries
- You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
- ZeRO-Offload: Democratizing Billion-Scale Model Training
- Text2App: A Framework for Creating Android Apps from Text Descriptions
- CogView: Mastering Text-to-Image Generation via Transformers
- Aggregating Nested Transformers
- The Pile: An 800GB Dataset of Diverse Text for Language Modeling
- Self-Supervised Learning with Swin Transformers
- Associating Objects with Transformers for Video Object Segmentation
- Luna: Linear Unified Nested Attention
- Brain-computer interface for generating personally attractive images
- Pretrained Language Models for Text Generation: A Survey
- A Survey of Data Augmentation Approaches for NLP
- A Decade Survey of Content Based Image Retrieval using Deep Learning
- Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey
- Automated Machine Learning on Graphs: A Survey
- The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances
- Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey
- From Distributed Machine Learning to Federated Learning: A Survey
- Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation
- Explainable Autonomous Robots: A Survey and Perspective
- Graph Learning: A Survey
- Reinforcement Learning for Ridesharing: A Survey
- Machine Learning Techniques for Software Quality Assurance: A Survey
- Deep Learning for Deepfakes Creation and Detection: A Survey
- A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP
- Towards A Process Model for Co-Creating AI Experiences
- Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
- Quantum Embedding Search for Quantum Machine Learning
- Internet of quantum blockchains: security modeling and dynamic resource pricing for stable digital currency
- Drug Discovery Approaches using Quantum Machine Learning
- The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning
- QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer
- Spiking neuromorphic chip learns entangled quantum states
- QFold: Quantum Walks and Deep Learning to Solve Protein Folding
- Noisy intermediate-scale quantum (NISQ) algorithms
- A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
- Machine Learning for Security in Vehicular Networks: A Comprehensive Survey
- VirtualFlow: Decoupling Deep Learning Models from the Underlying Hardware
- Representation Learning for Networks in Biology and Medicine: Advancements, Challenges, and Opportunities
- KILT: a Benchmark for Knowledge Intensive Language Tasks
- Avalanche: an End-to-End Library for Continual Learning
- Applications of physics-informed scientific machine learning in subsurface science: A survey
- Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses
- Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test
- A Survey on Natural Language Video Localization
- 3D Morphable Face Models -- Past, Present and Future
- High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models
- MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
- Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
- The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures
- Auto-Tuned Sim-to-Real Transfer
- Generating Datasets with Pretrained Language Models
- State of the Art on Neural Rendering
- Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution
- mlf-core: a framework for deterministic machine learning
- DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort
- Emotion Dynamics Modeling via BERT
- Efficient Large-Scale Language Model Training on GPU Clusters
- Accented Speech Recognition: A Survey
- Creativity and Machine Learning: A Survey
- Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
- Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test
- A survey of image labelling for computer vision applications
- Weakly Supervised Object Localization and Detection: A Survey
- Minimum-Distortion Embedding
- Generative Minimization Networks: Training GANs Without Competition
- MuRIL: Multilingual Representations for Indian Languages
- Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
- Scaling Laws for Neural Language Models
- Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
- From Digital Humanities to Quantum Humanities: Potentials and Applications
- How to represent part-whole hierarchies in a neural network
- Pretrained Transformers as Universal Computation Engines
- On Semantic Similarity in Video Retrieval
- Quantum Self-Supervised Learning
- Explainability in Graph Neural Networks: A Taxonomic Survey
- A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19
- Federated Quantum Machine Learning
- Pruning and Quantization for Deep Neural Network Acceleration: A Survey
- Explanations in Autonomous Driving: A Survey
- CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review
- Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution
- Towards Open World Object Detection
Feb - 21
- A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives
- Teach Me to Explain: A Review of Datasets for Explainable NLP
- Long-time simulations with high fidelity on quantum hardware
- Zero-Shot Text-to-Image Generation
- Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
- Three Ways to Solve Partial Differential Equations with Neural Networks -- A Review
- Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
- CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results
- Deepfake Video Detection Using Convolutional Vision Transformer
- Sandwich Batch Normalization
- Automatic Code Generation using Pre-Trained Language Models
- Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention
- Self-Supervised Learning of Graph Neural Networks: A Unified Review
Jan - 21
- Quick Annotator: an open-source digital pathology based rapid image annotation tool
- End-to-End Video Question-Answer Generation with Generator-Pretester Network
- Investigating the Effect of Sensor Modalities in Multi-Sensor Detection-Prediction Models
- Fits and Starts: Enterprise Use of AutoML and the Role of Humans in the Loop
- WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection
- WearMask: Fast In-browser Face Mask Detection with Serverless Edge Computing for COVID-19
- DEVI: Open-source Human-Robot Interface for Interactive Receptionist Systems
- A Unified Learning Approach for Hand Gesture Recognition and Fingertip Detection
- Robustness Gym: Unifying the NLP Evaluation Landscape
- Secure and Robust Machine Learning for Healthcare: A Survey
- The Problem with Metrics is a Fundamental Problem for AI
- Noisy intermediate-scale quantum (NISQ) algorithms ⭐
- Making Responsible AI the Norm rather than the Exception
- Chemistry42: An AI-based platform for de novo molecular design
- Fashion Meets Computer Vision: A Survey
- BERTaú: Itaú BERT for digital customer service
- Website Fingerprinting on Early QUIC Traffic
- ZeRO-Offload: Democratizing Billion-Scale Model Training
- Applications of Deep Neural Networks
- Can We Automate Scientific Reviewing?
- Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models
- Scaling Laws for Transfer
- EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning
- The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors
- The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics ⭐
- Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review ⭐
- Advances and Challenges in Conversational Recommender Systems: A Survey
- ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
- Federated Learning on Non-IID Data Silos: An Experimental Study
- A survey of motion planning algorithms for intelligent robotics
- Horizontally Fused Training Array: An Effective Hardware Utilization Squeezer for Training Novel Deep Learning Models
- One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision