2021 Proceeding- Editor:
- Francisco Chicano,
- General Chair:
- Krzysztof Krawiec
GECCO is the premier peer-reviewed conference in the field of Evolutionary Computation, and the main conference of the Special Interest Group on Genetic and Evolutionary Computation (SIGEVO) of the Association for Computing Machinery (ACM).
Reverse-engineering core common sense with the tools of probabilistic programs, game-style simulation engines, and inductive program synthesis
None of today's AI systems or approaches comes anywhere close to capturing the common sense of a toddler, or even a 3-month old infant. I will talk about some of the challenges facing conventional machine learning paradigms, such as end-to-end ...
Statistical physics and statistical inference
A major challenge of contemporary statistical inference is the large-scale limit, where one wants to discover the values of many hidden parameters, using large amount of data. In recent years, ideas from statistical physics of disordered systems have ...
Why AI is harder than we think
Since its beginning in the 1950s, the field of artificial intelligence has cycled several times between periods of optimistic predictions and massive investment ("AI Spring") and periods of disappointment, loss of confidence, and reduced funding ("AI ...
- Proceedings of the Genetic and Evolutionary Computation Conference
Recommendations
Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| GECCO '17 | 462 | 178 | 39% |
| GECCO '16 | 381 | 137 | 36% |
| GECCO '16 Companion | 381 | 137 | 36% |
| GECCO '15 | 505 | 182 | 36% |
| GECCO '14 | 544 | 180 | 33% |
| GECCO Comp '14 | 544 | 180 | 33% |
| GECCO '13 | 570 | 204 | 36% |
| GECCO '07 | 577 | 266 | 46% |
| GECCO '06 | 446 | 205 | 46% |
| Overall | 4,410 | 1,669 | 38% |