- Self-supervised learning through the eyes of a child
- Pixelor: A Competitive Sketching AI Agent. So you think you can sketch?
- An Explicitly Relational Neural Network Architecture
- This Looks Like That: Deep Learning for Interpretable Image Recogniti
- Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
- Learning Skill Hierarchies from Predicate Descriptions and Self-Supervision
- The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
- It is not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction
- Energy-Based Models for Continual Learning
- Compositional Explanations of Neurons
- Few-Shot Bayesian Imitation Learning with Logical Program Policies
- Understanding Deep Architectures with Reasoning Layer
- The Seven Tools of Causal Inference, with Reflections on Machine Learning
- Understanding the role of individual units in a deep neural network
- Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning
- Learning Task-General Representations with Generative Neuro-Symbolic Modeling
- Understanding Tools: Task-Oriented Object Modeling, Learning and Recognition
- Machine Theory of Mind
- VISALOGY: Answering Visual Analogy Questions
- Zero-Shot Object Detection
- Distributional Generalization: A New Kind of Generalization
- SegNBDT: Visual Decision Rules for Segmentation
- Noise or Signal: The Role of Image Backgrounds in Object Recognition
- Abductive Commonsense Reasoning
- AMRL: Aggregated Memory For Reinforcement Learning
- Towards Open World Object Detection
- Learning by Abstraction: The Neural State Machine
- Time for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks
- BONGARD-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
- MineRL: A Large-Scale Dataset of Minecraft Demonstrations
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- Design Mining for Minecraft Architecture
- X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust
- Generative Design in Minecraft: Chronicle Challenge
- AGENT: A Benchmark for Core Psychological Reasoning
- Recognition-by-Components: A Theory of Human Image Understanding
- Causal Induction from Visual Observations for Goal Directed Tasks
- Disentangling contributions of visual information and interaction history in the formation of graphical conventions
- Program Synthesis
- Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions
- Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
- Are We Overfitting to Experimental Setups in Recognition?
- Putting visual object recognition in context
- Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
- A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
- Intentonomy: a Dataset and Study towards Human Intent Understanding
- Qualitative Simulation
- Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation
- Grounded Language Learning Fast and Slow
- Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning
- Attention Is All You Need
- Visual Concept-Metaconcept Learning
- Multi-Agent Cooperation and the Emergence of (Natural) Language
- The Principle of Semantic Compositionality
- Collaborative Dialogue in Minecraft
- Human-level concept learning through probabilistic program induction
- Pooled Motion Features for First-Person Videos
- Action Genome: Actions as Compositions of Spatio-temporal Scene Graphs
- Circle Loss: A Unified Perspective of Pair Similarity Optimization
- Neural Production Systems
- PHYRE: A New Benchmark for Physical Reasoning
- A Theoretical Computer Science Perspective on Consciousness
- Unsupervised learning by competing hidden units
- Invariant representation of physical stability in the human brain
- Program Guided Agent
- Control of Memory, Active Perception, and Action in Minecraft
- Visual scoping operations for physical assembly
- On the Measure of Intelligence
- Compositional Generalization via Neural-Symbolic Stack Machines
- OntoZSL: Ontology-enhanced Zero-shot Learning
- Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings
- Explainable and Explicit Visual Reasoning over Scene Graphs
- Learning to Learn Image Classifiers with Visual Analogy
- Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals
- Actor and Observer: Joint Modeling of First and Third-Person Videos
- Supporting Information
- Simulation as an engine of physical scene understanding
- Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks
- PIQA: Reasoning about Physical Commonsense in Natural Language
- Abduction and styles of scientific thinking
- ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning
- A causal view of compositional zero-shot recognition
- Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components
- Bayesian Theory of Mind: Modeling Joint Belief-Desire Attribution
- Asynchronous Data Aggregation for Training End to End Visual Control Networks
- Adversarial Filters of Dataset Biases
- Stochastic Optimization of Sorting Networks via Continuous Relaxations
- Learn to Explain Efficiently via Neural Logic Inductive Learning
- Beyond Holistic Object Recognition: Enriching Image Understanding with Part States
- MC-Saar-Instruct: a Platform for Minecraft Instruction Giving Agents
- Temporal and Object Quantification Networks
- Learning Efficient Logical Robot Strategies Involving Composable Objects
- Analogy as Nonparametric Bayesian Inference over Relational Systems
- Learning programs by learning from failures
- Learning Systems of Concepts with an Infinite Relational Model
- Machine Translation Using Abductive Inference
- Experimental Games and Social Decision Making
- Abductive Knowledge Induction From Raw Data
- Understanding the Nature of First-Person Videos: Characterization and Classification using Low-Level Features
- Generalize and Blend: Concept Blending Based on Generalization, Analogy, and Amalgams
- Neural Machine Translation by Jointly Learning to Align and Translate
- Abduction in Logic Programming
- Neural Logic Reinforcement Learning
- A Translation Approach to Portable Ontology Specifications
- Thinking Like a Skeptic: Defeasible Inference in Natural Language
- Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge
- Analogy-preserving Semantic Embedding for Visual Object Categorization
- Learning Higher-Order Logic Programs Through Abstraction and Invention
- Learning higher-order logic programs
- Logical reduction of metarules
- Inductive logic programming at 30
- Playgol: Learning Programs Through Play
- Forgetting to Learn Logic Programs
- Action Understanding as Inverse Planning Appendix
- The extended mind
- Abductive Plan Recognition by Extending Bayesian Logic Programs
- Ontology-guided Semantic Composition for Zero-Shot Learning
- Learning efficient logic programs
- Malmo Platform Tutorial
- Bayesian Abductive Logic Programs
- Answer Set Programming
- The Symbol Grounding Problem
- Distributed Representations ofWords and Phrases and their Compositionality
- Rearrangement: A Challenge for Embodied AI
manjunath5496 / cognitive-ml-papers Goto Github PK
View Code? Open in Web Editor NEW"To understand the precise point when the possible becomes the impossible, you have to appreciate and understand the laws of physics."― Michio Kaku