Application Areas
34,437 papers (4 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Domain Adaptation (9,897)
Efficient Computing (8,226)
Data Augmentation (3,648)
Fairness (3,574)
Knowledge Distillation (3,219)
Privacy (3,022)
Domain Generalization (1,972)
Model Compression (1,736)
Risk Management (1,119)
Model Merging (592)
Recommender Systems (343)
Information Retrieval (249)
Text Classification (144)
Text Processing (2)
Papers per year
1
3
5
5
4
19
24
28
26
35
42
55
142
116
147
330
517
1,020
1,828
2,498
3,411
3,854
5,063
6,422
7,176
1,666
2000
'5
'10
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'25
Papers (including subtopics)
GeoLLM: Extracting Geospatial Knowledge from Large Language Models
ICLR 2024
Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures
NeurIPS 2024
Geometry-aware training of factorized layers in tensor Tucker format
NeurIPS 2024
Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images
NeurIPS 2024
Geometry-Guided Conditional Adaptation for Surrogate Models of Large-Scale 3D PDEs on Arbitrary Geometries
IJCAI 2024
Geometry-Guided Domain Generalization for Monocular 3D Object Detection
AAAI 2024
GeoPlant: Spatial Plant Species Prediction Dataset
NeurIPS 2024
GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement
CVPR 2024
German Text Simplification: Finetuning Large Language Models with Semi-Synthetic Data
EACL 2024
GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts
NeurIPS 2024
Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference
ICML 2024
Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework
NeurIPS 2024
Get the Best out of 1B LLMs: Insights from Information Extraction on Clinical Documents
ACL 2024
Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division
IJCAI 2024
Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language Models
ACL 2024
Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning
NAACL 2024
Getting the most out of your tokenizer for pre-training and domain adaptation
ICML 2024
Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models
ICLR 2024
Ghostbuster: Detecting Text Ghostwritten by Large Language Models
NAACL 2024
Ghost Noise for Regularizing Deep Neural Networks
AAAI 2024
Gibbs Sampling of Continuous Potentials on a Quantum Computer
ICML 2024
GIL-GALaD: Gender Inclusive Language - German Auto-Assembled Large Database
COLING 2024
GIM: Learning Generalizable Image Matcher From Internet Videos
ICLR 2024
GIO: Gradient Information Optimization for Training Dataset Selection
ICLR 2024
Giving Control Back to Models: Enabling Offensive Language Detection Models to Autonomously Identify and Mitigate Biases
EMNLP 2024