Adam Trischler
About
In The Last Decade
Adam Trischler
36 papers receiving 922 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 916
- Computer Vision and Pattern Recognition 361
- Information Systems 106
- Management Science and Operations Research 22
- Statistical and Nonlinear Physics 21
Countries citing papers authored by Adam Trischler
This map shows the geographic impact of Adam Trischler's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Adam Trischler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Trischler more than expected).
Fields of papers citing papers by Adam Trischler
This network shows the impact of papers produced by Adam Trischler. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Adam Trischler. The network helps show where Adam Trischler may publish in the future.
Co-authorship network of co-authors of Adam Trischler
This figure shows the co-authorship network connecting the top 25 collaborators of Adam Trischler. A scholar is included among the top collaborators of Adam Trischler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adam Trischler. Adam Trischler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 36 | |
| 3 | 61 | |
| 4 | On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT | 21 |
| 5 | 38 | |
| 6 | Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games. | 9 |
| 7 | Metalearned Neural Memory | 5 |
| 8 | Rapid Adaptation with Conditionally Shifted Neurons. | 49 |
| 9 | 14 | |
| 10 | Counting to Explore and Generalize in Text-based Games | 1 |
| 11 | Generating Diverse Numbers of Diverse Keyphrases. | 6 |
| 12 | Focused Hierarchical RNNs for Conditional Sequence Processing | 9 |
| 13 | Twin Networks: Matching the Future for Sequence Generation | 16 |
| 14 | Boundary Seeking GANs | 2 |
| 15 | 8 | |
| 16 | FigureQA: An Annotated Figure Dataset for Visual Reasoning | 6 |
| 17 | A Joint Model for Question Answering and Question Generation | 9 |
| 18 | Plan, Attend, Generate: Planning for Sequence-to-Sequence Models | 6 |
| 19 | Learning Rapid-Temporal Adaptations | 6 |
| 20 | NewsQA: A Machine Comprehension Dataset breakdown → | 374 |
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.