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09/19/2023
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning
Differentiable quantum architecture search (DQAS) is a gradient-based fr...
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06/03/2023
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models
Various adaptation methods, such as LoRA, prompts, and adapters, have be...
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04/02/2023
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning
Temporal knowledge graph completion (TKGC) aims to predict the missing l...
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11/15/2022
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information
Knowledge graph completion (KGC) aims to predict the missing links among...
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08/12/2022
Forecasting Question Answering over Temporal Knowledge Graphs
Question answering over temporal knowledge graphs (TKGQA) has recently f...
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05/21/2022
Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction
Few-shot relational learning for static knowledge graphs (KGs) has drawn...
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04/24/2022
Open-domain Dialogue Generation Grounded with Dynamic Multi-form Knowledge Fusion
Open-domain multi-turn conversations normally face the challenges of how...
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12/15/2021
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs
Conventional static knowledge graphs model entities in relational data a...
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12/14/2021
A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion
While knowledge graphs contain rich semantic knowledge of various entiti...
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10/27/2021
MIRA: Multihop Relation Prediction in Temporal Knowledge Graphs
In knowledge graph reasoning, we observe a trend to analyze temporal dat...
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10/20/2021
SEA: Graph Shell Attention in Graph Neural Networks
A common issue in Graph Neural Networks (GNNs) is known as over-smoothin...
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10/17/2021
3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers
3D reconstruction aims to reconstruct 3D objects from 2D views. Previous...
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09/27/2021
The Tensor Brain: A Unified Theory of Perception, Memory and Semantic Decoding
We present a unified computational theory of perception and memory. In o...
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09/09/2021
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting
Temporal knowledge graph (TKG) reasoning is a crucial task that has gain...
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08/10/2021
Adaptive Multi-Resolution Attention with Linear Complexity
Transformers have improved the state-of-the-art across numerous tasks in...
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01/13/2021
Temporal Knowledge Graph Forecasting with Neural ODE
Learning node representation on dynamically-evolving, multi-relational g...
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01/05/2021
Contrastive Learning for Recommender System
Recommender systems, which analyze users' preference patterns to suggest...
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01/02/2021
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation
We present Knowledge Enhanced Multimodal BART (KM-BART), which is a Tran...
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12/31/2020
xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links
Interest has been rising lately towards modeling time-evolving knowledge...
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11/08/2020
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion
There has recently been increasing interest in learning representations ...
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10/11/2020
Controllable Multi-Character Psychology-Oriented Story Generation
Story generation, which aims to generate a long and coherent story autom...
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07/02/2020
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score
Randomized controlled trials typically analyze the effectiveness of trea...
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03/30/2020
Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs
The Hawkes process has become a standard method for modeling self-exciti...
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03/30/2020
The Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs
The Hawkes process has become a standard method for modeling self-exciti...
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02/20/2020
Causal Inference under Networked Interference
Estimating individual treatment effects from data of randomized experime...
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01/29/2020
The Tensor Brain: Semantic Decoding for Perception and Memory
We analyse perception and memory using mathematical models for knowledge...
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01/09/2020
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs
We propose a novel method for fact-checking on knowledge graphs based on...
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01/04/2020
Quantum Machine Learning Algorithm for Knowledge Graphs
Semantic knowledge graphs are large-scale triple-oriented databases for ...
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01/02/2020
Reasoning on Knowledge Graphs with Debate Dynamics
We propose a novel method for automatic reasoning on knowledge graphs ba...
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02/19/2019
Variational Quantum Circuit Model for Knowledge Graphs Embedding
In this work, we propose the first quantum Ansätze for the statistical r...
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09/01/2018
Improving Visual Relationship Detection using Semantic Modeling of Scene Descriptions
Structured scene descriptions of images are useful for the automatic pro...
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08/27/2018
Improving Information Extraction from Images with Learned Semantic Models
Many applications require an understanding of an image that goes beyond ...
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06/30/2018
Embedding Models for Episodic Memory
In recent years a number of large-scale triple-oriented knowledge graphs...
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08/09/2017